Thread: Video Tutorials Collection

The Complete Scientific Python 3 Bootcamp
Updated 06/2022
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.9 GB | Duration: 103 lectures • 13h 25m



What you'll learn
Understand and explain the Scientific Ecosystem
Work with Ndarrays in NumPy
Mathematical and Statistical Functions
Signal and Image Processing with NumPy, SciPy, and Scikit-image
Basic and Advanced Visualizations using Matplotlib
Introduction to Data Science with Pandas
K-Means Clustering
Requirements
Windows PC/ Raspberry Pi with Internet Connection
Basic Mathematics and Programming
Zeal and enthusiasm to learn new things
A burning desire to take your career to the next level

Description
Become a Master in Scientific Python and acquire employers' one of the most requested skills of 21st Century! A great Scientific Python programmer earns more than $150000 per year.
This is the most comprehensive, yet straight-forward course for the Scientific Python on Udemy! Whether you have never used SciPy before, already know basics of Python, or want to learn the advanced features of NumPy with Python 3, this course is for you! In this course we will teach you NumPy, SciPy, Matplotlib, Jupyter Notebook, Pandas, and Scikit-image.
With over 100 lectures and more than 13 hours of video this comprehensive course leaves no stone unturned in teaching you Scientific Python!
This course will teach you Scientific Python in a very practical manner, with every lecture comes a full Python 3 programming video and a corresponding Jupyter notebook that has Python 3 code! Learn in whatever manner is the best for you!
We will start by helping you get Python3, NumPy, Matplotlib, Jupyter, and SciPy installed on your Windows computer and Raspberry Pi.
We cover a wide variety of topics, including
Basics of Scientific Python Ecosystem
Basics of SciPy, NumPy, and Matplotlib
Installation of Python 3 on Windows
Setting up Raspberry Pi
Tour of Python 3 environment on Raspberry Pi
Jupyter installation and basics
Ndarrays
Array Creation Routines
Basic Visualization with Matplotlib
Ndarray Manipulation
Installation of SciPy
Constants and Linear Algebra
Integration
FFTs
Signal Processing
Interpolation
Image Processing with NumPy, SciPy, Matplotlib, and Scikit-image
Pandas and Data Science
K-Means clustering with SciPy
You will get lifetime access to over 100 lectures plus corresponding PDFs and the Jupyter notebooks for the lectures!
So what are you waiting for? Learn SciPy in a way that will advance your career and increase your knowledge, all in a fun and practical way!
Who this course is for
Data Science and Machine Learning Professionals
Computer Vision Professionals
Raspberry Pi Enthusiasts
Anyone with zeal and enthusiasm to learn

Code:

https://anonymz.com/?https://www.udemy.com/course/the-complete-scientific-python-3-bootcamp/

Download from RapidGator

Code:

https://rapidgator.net/file/d1ddfbf9bf96221362ec5c1d401561eb/The_Complete_Scientific_Python_3_Bootcamp.part1.rar
https://rapidgator.net/file/3aacf2156bc502cae6a6bc0452423276/The_Complete_Scientific_Python_3_Bootcamp.part2.rar
https://rapidgator.net/file/71182059698493029ce2ab101a6cd64c/The_Complete_Scientific_Python_3_Bootcamp.part3.rar

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Code:

https://k2s.cc/file/058f3ad11dd04/The_Complete_Scientific_Python_3_Bootcamp.part1.rar
https://k2s.cc/file/d1f3ebcd014f9/The_Complete_Scientific_Python_3_Bootcamp.part2.rar
https://k2s.cc/file/4fe9dc3c8caa1/The_Complete_Scientific_Python_3_Bootcamp.part3.rar

Learn Military Knife Combat Skills
Last updated 11/2021
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 9.28 GB | Duration: 7h 10m

The most COMPLETE and EFFICIENT self defense course for close combat using the KNIFE, designed for solo training.


What you'll learn
Basic and advance knife combat drills and techniques in close range distance.
Basic and advance knife combat throwing drills and techniques.
Knife Combat Mindset.
Techniques and special training drills to increase speed and precision.
Deployment of the knife( fix blade and folding).
Dangerous Concealed Carry.
Knife Throwing Ground Techniques.
Gun and Knife Transitions.
Hand to hand Combat and Knife Transitions.
Knives in Non-Permisive Environment.
Improvised Weapons Pens/Pencils
Deployment and Concealment of the knife without the potential aggressors to notice.
Requirements
A real knife (can be a throwing knife, a fix blade or a folding knife )
A training knife( rubber, plastic)
An improvised target ( wood, death tree, or other )

Description
The direct contact with various violent situations (in all its forms) along with my special military and tactical training make me the perfect solution for you to learn the knowledge and techniques of being able to defend yourself in front of threatening situations.The insecurity spread national and international these days let me to this present project ''Military Knife Combat" Course.This project comes as a support for the civilians that have no access to technical and systematical training in modern combat tactics and self defense.The modern combat has changed a lot and now it's involving multiple aggressors and weapons, so to be able to protect your life, your family and the civilians around you need a more aggressive, brutal and efficient system, understanding that only empty hands are not enough. And I am talking about that situations in which you need to apply deadly force to protect yourself and your family( example: a terrorist attack, a kidnapping situation and so on)Because in many countries the laws regarding the civilians and the right to bare fire weapons are very strict, many times the only option as a weapon for defense in extreme life or death situation remain the knife.My purpose is to offer you the knowledge -practical and theoretical- that will definitely contribute to your survival in real violence case.Acknowledging the violence that surrounds us, we get to the understanding that in a real situation we need a certain efficient reaction in order to assure our safety. Our program offers special techniques, involving knife tactics, and all the needed instruments (mental and physical). We make our main purpose in adapting all the necessary military tactics to your specific needs.This course is designed for SOLO TRAINING, so you don't need a training partner.KNIFE fighting is an unique and modern blade system based on reality concepts learn and experience by our instructors in real situations. With many seminars and courses organized in different countries , teaching for military and civilian personnel , make us the right choice for you to learn knife and blade combat.This Knife Combat course is created in such a way that the participants will be able to learn in short time basic and advanced techniques with different kinds of blades. In my opinion knife is one of the best choice in close combat situations. Combat knife throwing is part of this course teachings and can be use in short distance from the target, for creating the time and space to deploy a secondary weapon or to evade.Why is happening in close distance?Because is very hard to hit a target that has unpredictable movements from a big distance.Combat Knife throwing is not spectacular, the goal is to be efficient.The Hollywood industry was creating a false idea about combat knife throwing. Of course that is existing the probability that the knife throw that you perform in close range can kill the target by the main function is to create the time and distance that you need to deploy the secondary weapon.For example imagine a scenario with multiple aggressors and one of them is coming to smash you the head with an metal baseball bat or maybe to stick the knife in you( put also that you are with your child or family).The most important thing is to be able to identify a potential threat, than to be fast enough to deploy your weapon in time, and after to be precise in your strike( this is applying also in fire weapons).Of course is depending also what laws you have in your state country, in many places fixe blades are illegal so we must adapt to other solutions like a folding knife.TCS CERTIFICATE of COMPLETION the courseYou will receive a Tactical Combat System Certificate of Completion recognizing your merits.
Overview
Section 1: Combat Knife Course
Lecture 1 About me
Lecture 2 Knife Combat Intro
Lecture 3 Knife Combat Basic Drills Introduction 1
Lecture 4 Knife Combat Basic Drills Introduction 2
Lecture 5 Knife Combat Drills 1
Lecture 6 Knife Combat Drills 2
Lecture 7 Knife Combat Drills 3
Lecture 8 Knife Combat Drills 4
Lecture 9 Gun & Knife Transitions
Lecture 10 Drills to increase the speed and precision
Lecture 11 Drills to increase movement explosion
Lecture 12 Deployment of the weapon with one hand (strong and wick)
Lecture 13 Knife Deployment Techniques
Lecture 14 Dangerous Conceal Carry
Lecture 15 Dangerous Conceal Carry 2
Lecture 16 Deadly Striking Zones
Lecture 17 Undetectable Deployment and Concealment of the Knife
Lecture 18 Ground Knife Throwing Techniques
Lecture 19 Balisong- Butterfly Knife
Lecture 20 Questions and Answers
Lecture 21 Knives in non-permissive environments
Lecture 22 Improvised Weapons
Lecture 23 Improvised weapons Pens/Pencils
Lecture 24 Use of deadly force
Section 2: Certificate of Completion
Lecture 25 Certificate of Completion
All the people who acknowledge the violence in our society and they want to learn to protect themselves, their family or comunity.

Code:

https://anonymz.com/?https://www.udemy.com/course/combat-knife-course/

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Code:

https://rapidgator.net/file/03bad8a675e3f692987065dd2b01a1be/Learn_Military_Knife_Combat_Skills.part1.rar
https://rapidgator.net/file/7eda1600f6533a66c5e399092bcdbfed/Learn_Military_Knife_Combat_Skills.part2.rar
https://rapidgator.net/file/95eed79230cdb12fa3b178f17c784882/Learn_Military_Knife_Combat_Skills.part3.rar
https://rapidgator.net/file/1331c3a9b67ef9f37c269209a4b965cb/Learn_Military_Knife_Combat_Skills.part4.rar
https://rapidgator.net/file/e5ab47a2c4827d3d7714211474c1563d/Learn_Military_Knife_Combat_Skills.part5.rar

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Code:

https://k2s.cc/file/d02b75fb2f836/Learn_Military_Knife_Combat_Skills.part1.rar
https://k2s.cc/file/1044d6a550330/Learn_Military_Knife_Combat_Skills.part2.rar
https://k2s.cc/file/1bb52d42f9ff7/Learn_Military_Knife_Combat_Skills.part3.rar
https://k2s.cc/file/878435510f10c/Learn_Military_Knife_Combat_Skills.part4.rar
https://k2s.cc/file/927fa6f4b110f/Learn_Military_Knife_Combat_Skills.part5.rar

Gaia - Arcanum
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + Subs | Duration: 25 Lessons (18h) | Size: 28.5 GB

Our world is going through a powerful and wonderful transition, as the collective soul of humanity is awakening. To help us better understand this transformation, William Henry guides us on a cosmic soul quest, in Season 2, in order to discover the secrets and science of soul ascension. Through this journey, you will learn how to develop a plan which will enable you to live with more focus and purpose than ever before.

Homepage

Code:

https://anonymz.com/?https://www.gaia.com/series/arcanum

Download from RapidGator

Code:

https://rapidgator.net/file/41cd6b0857e1a91774f5b775ab7d782f/Arcanum.part01.rar
https://rapidgator.net/file/27c90aca227f99480e80e4e201389e4b/Arcanum.part02.rar
https://rapidgator.net/file/9234378b0fda3926bbe9c148b70e14ce/Arcanum.part03.rar
https://rapidgator.net/file/0cbdb88a2dce949284105ccd262cb252/Arcanum.part04.rar
https://rapidgator.net/file/beac8ad21e3caf199796601535cf1451/Arcanum.part05.rar
https://rapidgator.net/file/3434d4df9d5683adb17254e43a119eec/Arcanum.part06.rar
https://rapidgator.net/file/b7f5c93057b65f7db887efd8fa45c318/Arcanum.part07.rar
https://rapidgator.net/file/725a402a0e961621d0765443e6b1d575/Arcanum.part08.rar
https://rapidgator.net/file/14157dccc411bbe61bc6d9190eafa5d7/Arcanum.part09.rar
https://rapidgator.net/file/c56eee63441ab491668bb2d20a50a0d3/Arcanum.part10.rar
https://rapidgator.net/file/f3b4b58e5a0055b40aca6fb401a60949/Arcanum.part11.rar
https://rapidgator.net/file/3d79de30709d0d1243e2923273dcbb02/Arcanum.part12.rar
https://rapidgator.net/file/861d86347bcdffb70b6b5d10c012d23c/Arcanum.part13.rar
https://rapidgator.net/file/8ad2546ce419d99a35c92818f66c461b/Arcanum.part14.rar

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Code:

https://k2s.cc/file/baae9ec64259f/Arcanum.part01.rar
https://k2s.cc/file/9f599b0b25754/Arcanum.part02.rar
https://k2s.cc/file/32e078f13a434/Arcanum.part03.rar
https://k2s.cc/file/eb9d25b99c569/Arcanum.part04.rar
https://k2s.cc/file/c1d6ca1d9a75c/Arcanum.part05.rar
https://k2s.cc/file/02b8c8b62fb4d/Arcanum.part06.rar
https://k2s.cc/file/87faf184d3a89/Arcanum.part07.rar
https://k2s.cc/file/fce6cd15c860b/Arcanum.part08.rar
https://k2s.cc/file/b1ab755764682/Arcanum.part09.rar
https://k2s.cc/file/69eb43c90e33b/Arcanum.part10.rar
https://k2s.cc/file/98c1d61017b3b/Arcanum.part11.rar
https://k2s.cc/file/458c6e0af58af/Arcanum.part12.rar
https://k2s.cc/file/66953430b19ae/Arcanum.part13.rar
https://k2s.cc/file/196ad7a19d056/Arcanum.part14.rar

Differential Equations by Jianjun Chuai
Published 06/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 13 lectures (13h 41m) | Size: 5.27 GB

Applied Analysis I for science and engineering students



What you'll learn
First-order Differential Equations
Linear Differential Equations
Second-order Differential Equations with Constant Coefficients
Power Series Solutions
The Laplace Transform
Systems of Differential Equations

Requirements
Differential calculus and Integral calculus (Calculus I and II)


Description
In mathematics, a differential equation refers to an equation that relates one or more unknown functions and their derivatives. In practice, the functions generally represent physical quantities, the derivatives represent their rates of change, and the differential equation defines a relationship between the two. Differential equations play a prominent role in many disciplines of science and engineering.

The study of differential equations consists of the study of their solutions, and of the properties of their solutions. This course aims to provide certain methods for finding solutions for some linear equations of smaller orders. It starts with a quick review of integral calculus to remind the reader of some well-known and useful results in that subject to be used later on. Then we continue with the following topics

1. First-order Differential Equations.

In this section, we first study separable equations, and then the exact equations. Here the integrating factors play a crucial role in finding the solutions.

2. Linear Differential Equations.

In this section, we introduce the notion of a fundamental set and give a theorem saying that a fundamental set exists for any linear differential equation. We also give a formula for the second solution of a linear equation if we have already known one solution of the equation.

3. Second-order DEs with Constant Coefficients

In this section, we study the second-order differential equations with constant coefficients. For any such equation, we can always find the solutions. We will also study the Cauchy-Euler equations because such equations have similar results to the first case.

4. Power Series Solutions

It is shown that at an ordinary point, we can always find two linearly independent power series solutions for a linear equation of order 2. For the solutions at singular points, we use the Frobenius Theorem. We will also study Bessel's equations and Legendre's equations.

5. The Laplace Transform

In this section, we introduce the Laplace Transform and the Inverse Transform and show that how to use them to solve differential equations. We will also study the general solutions of non-homogeneous differential equations.

6. Systems of differential equations

In this section, we will show how to use results from Matrix Theory to solve Systems of differential equations.

Who this course is for
Second year science and engineering students

Homepage

Code:

https://anonymz.com/?https://www.udemy.com/course/differential-equations-q/

Download from RapidGator

Code:

https://rapidgator.net/file/3a73899e8e735ed1f03592b217f88471/Differential_Equations.part1.rar
https://rapidgator.net/file/cfc2ce5b991948056c27486b9ed00187/Differential_Equations.part2.rar
https://rapidgator.net/file/7a74cbc25741074207a195e534ab8807/Differential_Equations.part3.rar

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Code:

https://k2s.cc/file/546a39bf0f3e5/Differential_Equations.part1.rar
https://k2s.cc/file/268f3ba68d4e2/Differential_Equations.part2.rar
https://k2s.cc/file/6bb2fa345eb12/Differential_Equations.part3.rar

Meditate Like A Yogi
Published 06/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 38 lectures (5h 30m) | Size: 6.76 GB

Practices To Last A Lifetime

What you'll learn
Learn authentic yogic practices which lead to deep meditation and fulfillment
Build a comprehensive personal practice with techniques that offer a lifetime of benefits
Gain a clearer understanding of key concepts that apply to all practice styles and techniques
Enter the realm of pranayama, progressive relaxation, energy activation, and deep meditation
Requirements
No experience required. We start with foundational concepts and move progressively deeper.
Description
This course is for anyone and everyone who wants to learn a powerful SYSTEM of practice that will take you deeper and deeper into the realization of Self via direct experience in meditation. These techniques were not chosen randomly, they have been carefully selected to ensure that your practice continues to develop in a well-rounded and balanced way, day after day and year after year.
I will guide you on an in-depth journey into the realm of deep meditation that focuses on building a progressively deeper practice through the use of time-tested and authentic techniques. We will explore a system of Pranayama for energy cultivation, Rotation of Awareness for deep relaxation and energy activation, Breath Meditation to balance the flow of internal energy, and Prana Dharana for chakra awakening and meditative absorption. These are the REAL practices of yogic meditation which we can never outgrow! This combines beautifully into a rich and powerful practice that will last you for your entire lifetime. There are also many insightful lectures along the way to ensure that you have a clear understanding of how to bring your highest qualities into the practice.
As we begin to apply ourselves to these practices day after day, in a systematic way, we create the optimal conditions for radical wellness and lasting transformation. You can expect to improve your concentration, deepen your relaxation, improve the flow of life force within you, and more clearly expand your awareness of who you really are. I hope you will join me on this journey of magnificent unfolding!
Who this course is for
For anyone who wants to focus their efforts on the deeper and authentic practices of yogic meditation

Code:

https://anonymz.com/?https://www.udemy.com/course/meditate-like-a-yogi/

Download from RapidGator

Code:

https://rapidgator.net/file/20662e56c39227476cc95da490984337/Meditate_Like_A_Yogi.part1.rar
https://rapidgator.net/file/76d2570deb285a1aa7531adce4bf0c24/Meditate_Like_A_Yogi.part2.rar
https://rapidgator.net/file/d9572810afd1318057999ffc42529ada/Meditate_Like_A_Yogi.part3.rar
https://rapidgator.net/file/4b5597cd3a7f698609c5e96c0e1f502d/Meditate_Like_A_Yogi.part4.rar

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Code:

https://k2s.cc/file/151cb11f64820/Meditate_Like_A_Yogi.part1.rar
https://k2s.cc/file/fca3fef4fd84f/Meditate_Like_A_Yogi.part2.rar
https://k2s.cc/file/68bd4ef76b158/Meditate_Like_A_Yogi.part3.rar
https://k2s.cc/file/c9c9c345f4a86/Meditate_Like_A_Yogi.part4.rar

Basic Chinese 101- Chinese For Beginners
Last updated 6/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.89 GB | Duration: 14h 16m

Integrated Chinese Textbook Practice Kit Level 1


What you'll learn
Beginner Chinese Level 1: 200 Plus Vocabularies+60 Plus Sentence Structures
Study courses + After-course practice kit
Listening and sentence-structure exercises
Improvement in Chinese sentence structure and listening
It can work together with Integrated Chinese Level 1 Part 1 Textbook
You will be able to make up your own sentences with the vocabularies that you have learned
All PDFs are available
Requirements
No previous Chinese learning experience needed.

Description
This course is a basic Chinese course. We will study pinyin (basic pronunciation), and work on pronunciation, basic grammar and common phrases. We will not only cover the grammar points but also practice what we learn together. Common phraseGreetingsNumberFamilyTime, week and dateHobbyDaily activityAfter-course practice:After the course, there are two other practice sections, where students can practice both sentence structure and listening. After the course, you will be able to make up your own sentences and improve in listening as well.Note:We will learn:Greeting: How to say hello, goodbye, thank you and other basic phrasesName: How to introduce yourself ; eg. What's your name? My name is...Number: We will know how to count numbers and practice numbers.Basic pronoun: We will learn different pronouns. eg. He, she etcFamily:We will learn how to say mom, dad, grandparents...Nationality: We will cover the most common countries and languages. eg. U.S., U.K., English, Japanese, French...Profession:We will learn how to name different jobs and professions. eg. teacher, police officer...Comparison: We will learn the most commonly used adjs, and learn how to sayI am taller than you. This one is more expensive than that one etc....How to tell time in ChineseDays of the week in ChineseHow to say Year, Month and Day in Chinese. The date in Chinese Weather in ChineseIntroduction to Chinese Currency； Chinese Money；How to shop in ChinesePractice how to buy things in ChineseAnd so much more is coming! We updated our content regularly!
Overview
Section 1: Chinese 101
Lecture 1 Introduction
Lecture 2 Lesson 1 A- Greetings and self-introduction
Lecture 3 Lesson 1 B-Common phrases
Lecture 4 After lesson 1-Sentence structure practice
Lecture 5 After Lesson 1-Listening practice
Lecture 6 Lesson 2 A-Number
Lecture 7 Lesson 2 B-Family
Lecture 8 After lesson 2-Sentence structure practice
Lecture 9 After Lesson 2-Listening practice
Lecture 10 Lesson 3-Time, week and date
Lecture 11 After lesson 3-Sentence structure practice
Lecture 12 After Lesson 3-Listening practice
Lecture 13 Lesson 4 A- Daily activity
Lecture 14 Lesson 4 B-Hobby
Lecture 15 After lesson 4-Sentence structure practice
Lecture 16 After Lesson 4-Listening practice
Lecture 17 Lesson 5-Visit friends
Lecture 18 After lesson 5-Sentence structure practice
Lecture 19 Lesson 5- Grammar
Beginner Chinese learners,Chinese learners who have difficult time to make up their own sentences,Chinese learners who struggle to use the vocabularies that they learn,Chinese learners who struggle in listening,Chinese learners who use Integrated Chinese textbooks and need more practice

Code:

https://anonymz.com/?https://www.udemy.com/course/basic-chinese-101-chinese-for-beginners/

Download from RapidGator

Code:

https://rapidgator.net/file/9cd32a9e5024ec9bbd1a0bfe1aed0617/Basic_Chinese_101_Chinese_for_Beginners.part1.rar
https://rapidgator.net/file/bc2858fe33e219ed2822190867e95fce/Basic_Chinese_101_Chinese_for_Beginners.part2.rar
https://rapidgator.net/file/db3fcc54da85d863c7fedb8e1fd1a818/Basic_Chinese_101_Chinese_for_Beginners.part3.rar

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Code:

https://k2s.cc/file/a9d2dcc5f5ee9/Basic_Chinese_101_Chinese_for_Beginners.part1.rar
https://k2s.cc/file/91485ac79648d/Basic_Chinese_101_Chinese_for_Beginners.part2.rar
https://k2s.cc/file/19cbabece5a88/Basic_Chinese_101_Chinese_for_Beginners.part3.rar

Arduino Uno and Visual Displays Bootcamp
Last Updatd 05/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 73 lectures (7h 24m) | Size: 5 GB

Learn Electronics Basics, Arduino Platform and Ecosystem, Arduino C Programming, and interfacing various displays

What you'll learn
Build projects with Arduino Uno
Understand what is the Arduino Platform and Ecosystem
Understand Digital Outputs
Detailed Tour of Arduino IDE and Settings
Work with simple and RGB LEDs
Work with LED Bar Display
Work with 7-Segment LED display
Prepare LED Chaser Circuits
Max 72xx Matrix display
OLED display
TFT display
WS2821b display
Requirements
A Windows, Raspberry Pi, Mac, or Linux computer
An Arduino Uno, Clone, or Compatible
Parts like LEDs, Breadboards, and Jumper Wires
Description
Learn Basics of Electronics, Arduino Ecosystem, and Visual Displays. These are a few of the most in-demand skills of the 21st Century! An expert level Electronics and IoT professional can earn $100000 (that's five zeros after 1) in today's scenario.
This is the most comprehensive and straight-forward course for the Electronics basics, Arduino, and various visual displays on Udemy! Irrespective of your level of familiarity with Arduino and Electronics, you can register for this course. In this course we will teach you Arduino Basics, Arduino Ecosystem, Basics of Electronics, Arduino C Programming, and Interfacing with Visual Displays.
(Note: Arduino C Code files, Fritzing Circuit Diagrams, and other PDFs can be downloaded from the downloadable section)
With more than 70 lectures and more than 7 hours of videos, this comprehensive course leaves no stone unturned in teaching you Arduino, Electronics Basics, and interfacing with various displays!
This course is the easiest way to learn basics of Electronics and Arduino. You also get to learn how to interface Arduino with various visual displays.
You will get lifetime access to over 70 lectures plus corresponding PDFs, Arduino C code files, and the circuit diagrams for the lectures!
So what are you waiting for? Learn Arduino and Electronics in a way that will advance your career and increase your knowledge, all in a fun and practical way!
Who this course is for
Anyone interested in learning programming and electronics
Anyone who wants to learn

Code:

https://anonymz.com/?https://www.udemy.com/course/arduino-uno-and-visual-displays-bootcamp/

Download from RapidGator

Code:

https://rapidgator.net/file/9dc23dcc964b335e7a3c7408660bb2fa/Arduino_Uno_and_Visual_Displays_Bootcamp.part1.rar
https://rapidgator.net/file/c5c9c163ee8d2a3c3cf1f59908eda62d/Arduino_Uno_and_Visual_Displays_Bootcamp.part2.rar
https://rapidgator.net/file/94f38b2897c0a603fff27bcded1579be/Arduino_Uno_and_Visual_Displays_Bootcamp.part3.rar

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Code:

https://k2s.cc/file/6b4abe09dbdfe/Arduino_Uno_and_Visual_Displays_Bootcamp.part1.rar
https://k2s.cc/file/5e927913df554/Arduino_Uno_and_Visual_Displays_Bootcamp.part2.rar
https://k2s.cc/file/d7fa9d3ee5cc8/Arduino_Uno_and_Visual_Displays_Bootcamp.part3.rar

Draw And Paint A Watercolor Portrait Painting For Beginners.
Last updated 6/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 9.49 GB | Duration: 7h 28m

Draw and paint in watercolor this natural portrait, real time videos, step by step with PRO artist, "All my secrets".


What you'll learn
How to plan and use photographs to make your portrait.
How to use my unique tracedown method to get an accurate image.
Watch how I use my tracedown method.
Learn how I draw my sketch in real time videos.
Learn exactly how a professional artist makes his portraits
Learn which tools are needed to paint portraits.
Learn how to make a beautiful portrait with watercolour paints
Requirements
The desire to paint portraits and the patience to try again.
I keep the equipment need to an absolute minimum, you can see what tools you will need in the "tools required" video

Description
I was asked;"How can I make sure that the eyes in my portraits are both the same"My answer; "in the hundreds of portraits that I have drawn and painted, the eyes are always different" inspired me to make a full tutorial about drawing and painting eyes.I soon realised that eyes don't look that great without the rest of the face and so, I carried on and produced this mammoth masterclass on how I draw and paint my portraits.In the tools required preview video you will see exactly what you need to do this course.Don't worry, In the 35 years that I have been painting and drawing portraits, I have narrowed down my equipment to the bare minimum You will watch over my shoulder as I show you how to get the image down on paper.Don't worry if your drawing skills are not up to point, I will show you how my unique tracedown system works. Then we will draw and shade our portrait into a lovely pencil drawing.I don't edit any of this process out, so simply follow me as I develop my drawing.The next phase to the painting is masking out highlights with masking fluid.This is a bit messy but well worth learning.
Overview
Section 1: introduction
Lecture 1 Tools required
Lecture 2 Course pictures
Section 2: How to draw a beautiful womans eyes.
Lecture 3 Trace and draw Part 1.
Lecture 4 Trace and draw part 2.
Lecture 5 Trace and draw part 3.
Lecture 6 Trace and draw part 4.
Lecture 7 Trace and draw part 5.
Lecture 8 Trace and draw part 6.
Section 3: How to draw a beautiful womans portrait.
Lecture 9 Trace and draw whole portrait.
Lecture 10 Trace and draw 1
Lecture 11 Trace and draw 2.
Lecture 12 Trace and draw 3,
Lecture 13 Trace and draw 4.
Lecture 14 Trace and draw 5.
Lecture 15 Trace and draw 6.
Lecture 16 Trace and draw 7.
Lecture 17 Trace and draw 8.
Section 4: Masking
Lecture 18 Masking 1.
Lecture 19 Masking 2.
Section 5: Painting.
Lecture 20 Painting 1.
Lecture 21 Painting 2.
Lecture 22 Painting 3.
Lecture 23 Painting 4.
Lecture 24 Painting 5.
Lecture 25 Painting 6.
Lecture 26 Painting 7.
Lecture 27 Painting 8.
Lecture 28 Painting 9.
Lecture 29 Painting 10.
Lecture 30 Painting 11.
Lecture 31 Painting 12.
Lecture 32 Painting 13.
Lecture 33 Painting 14.
Lecture 34 Painting 15.
Lecture 35 Painting 16.
Section 6: My 7 color palette.
Lecture 36 7 color palette Part 1.
Lecture 37 7 color palette Part 2.
Lecture 38 7 color palette Part 3.
Lecture 39 7 color palette Part 4.
Lecture 40 7 color palette Part 5. In portraiture.
Lecture 41 7 color palette 6.
This course would benefit anyone who would like to paint a portrait from scratch by following step by step real time videos.,If your drawing ability has stopped you trying to paint portraits, my tracedown method will get you on the right path..

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Oxford Diploma In Macroeconomics
Last updated 6/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 48.89 GB | Duration: 46h 46m

(40 hrs) Macroeconomics: 2021 Budgets; USA Economy, government policies, workbooks, multiple choice tests...



What you'll learn
The USA Economy analysed
2021 Budget + analysis
Comparisons with other economies
Aggregate demand and reasons for shifts
Multiplier
Output gap
Lively discussions!
Supply-side policy
Expansionary monetary policy
Detailed revision section
Several up to date WORKBOOKS
Requirements
An interest in understanding economic policy and events
Pen and paper to practice the diagrams
You should be able to use a PC at beginner level

Description
Notice: Please do NOT enrol on this course on impulse, thinking you might watch it later. Maybe show an interest on impulse, yes, but before you enrol, watch the Preview videos, read the Course Description and then make a decision. If you then enrol then please start the course as soon as possible. Watch the lectures, look at the workbooks and join in the discussions. Joining my courses is a serious business and I want you to get the most out of your study - but I also want you to enjoy the course.That is why I am asking that you only enrol because you really want to and that you start the course intending to make full use of all the resources.You will be very welcome.BEFORE YOU ENROL:1. Watch the Preview video2. Watch the sample lectures3. Thoroughly read this course description4. Be fully aware that participation is encouraged - that means there are manuals (several) numerous discussions (Q/A sections) and regular Education Announcements5. To achieve the Oxford Diploma requires quite a lot of work. To acquire the Completion Certificate you can just...watch. You can choose to do either, neither or...both. Questions are responded to quickly.6. Remember too that this course includes an OPTIONAL course in Business Economics English.Five reasons to TAKE THIS COURSE right now:You cannot lose - 30 day refund if you really really don't like the course BUT if you DO like it:a. updated lecturesb. case studies based on very very current news itemsc. detailed responses to messagesd. I constantly attempt to have a 'class atmosphere' e.g. throwing questions open to alle. regular Announcements that are not disguised sales ploysf. regular FREE access to numerous other courses offered by meI am a lecturer/teacher in Economics by trade i.e. I teach full-time for a living. I have been Principal, Director of Studies and Head of Economics. (Oxford, UK) I have lectured in University, adult evening classes and also run over 50 seminars in the UKI am/have been an Examiner for FIVE different examination boardsI have 100+ books on Amazon - many of them about business/economicsThe success of my students has been featured on the BBC, Daily Telegraph, The Times and I have been featured on TV in 2 countries.MOTIVATIONI make courses on Udemy primarily because I enjoy the process of causing learning. Many of my courses are to improve lives. One of the Economics courses is to raise money for charity. (100% of revenue goes to the charity) Fundamentally this course here, is about helping you.About the courseUsing ONLY aggregate demand and aggregate supply, this course explains the basics of macro economic policy. The lectures are fully supported by notes - often repeated to ensure learning - that may be copied and used for other studies. If you wish to understand more as to why governments cut/raise taxes, cut/raise government expenditure, how this impacts on inflation, unemployment and growth - then this is the course for you.Topics:Aggregate demandAggregate supplyNovember 2017 Budget (UK)Shifts in AD/ASMacro-economic equilibriumSpare capacityThe MultiplierOutput gapsEconomic growthThe Great Reset (added mid-January 2022)Supply-side policiesInflationUnemploymentTradeMonetary policyExport-led growthSeptember 2018 revision sectionBREXITThe course is pitched at a beginner level and thus is IDEAL for anyone just starting an economics course or simply wants to understand macro-economic policy.The initial lectures are short - egg-timer size! - and, if you look at other egg-timer courses, you will know that if you have any questions then they will be answered very quickly.The first part of the course also features a couple of 'revision sessions' just to check you have been following! (These are quite fast!)EXTENDED REVISION SECTION (14 Revision Lectures)The second half of the course consists of case studies based on articles in July 2018. This is to give you the opportunity to check what you know - and then (if you wish) send answers in!Lecture 45Attached to this lecture is an ECONOMICS WORKBOOK which if done properly, will take about 20+ hours! The Workbook is current as at mid-Feb 2019A second workbook has been added with questions about:Exchange rateCPIBrexitInvestmentMergersWorkforceSpending habitsMonetary policyRecessionWagesReal GDPCold warFederal Reserve and interest ratesJuly 2019: New workbook: Economics and declutteringChaptersChapter 1 : The economics of declutteringChapter 2: Decluttering the companyChapter 3: How to declutter like an EconomistChapter 4: Buy less.Chapter 5: The economics of tidying upChapter 6: Declutter your businessChapter 7: Mistakes people make when declutteringChapter 8: The Kondo Effect: the economy-changing magic of tidying upTopics:DeclutteringMarie KondoSunk costsCosts of clutter5S lean manufacturingLean managementDeclutter your mail inboxDeclutter your home officeWasting time and opportunitiesThinking like an economistA rich life with less stuffMinimalismHow much is enoughThe art of letting goRecyclingStatus quo biasDiminishing returnsDecluttering mistakesMinimalismConsumerismMinimalism and economics: the endowment effectDecember 2019Two new workbooks:Christmas economicsEconomics New Year 2020These two workbooks have been written with the Oxford Diploma in mind.March 2020New courses added: The impact of Coronavirus on the EconomyThe Economy of the USA

Overview

Section 1: OPTIONAL: UKRAINE

Lecture 1 Introduction

Lecture 2 Relevance

Lecture 3 Truth

Lecture 4 Action

Lecture 5 End

Lecture 6 P.P.S.

Section 2: Friendly advice

Lecture 7 Friendly advice

Section 3: Attention!

Lecture 8 Attention!

Section 4: Please watch this first!

Lecture 9 Please, please watch this first!

Lecture 10 Reviews

Section 5: Preview & Introduction

Lecture 11 Maximising your enjoyment from this course

Lecture 12 Maximising your enjoyment from this course (Part 2)

Lecture 13 Maximising your enjoyment from this course (Part 3)

Lecture 14 Maximising your enjoyment from this course (Part 4)

Lecture 15 Maximising your enjoyment from this course (Part 5)

Lecture 16 Preview

Lecture 17 Introduction

Section 6: Oxford School of Learning Diploma

Lecture 18 The Oxford Diploma - compulsory

Section 7: OPTIONAL:New course: Business/Economics English

Lecture 19 Introduction

Lecture 20 Day One: Ask for Help

Lecture 21 Day Two: Watch and Listen

Lecture 22 Day Three: Write Down Words and Phrases

Lecture 23 Day Four: Practice as much as you can (Part 1)

Lecture 24 Day Four: Practice as much as you can (Part 2)

Lecture 25 Day Five: Make time to study

Lecture 26 Day Six: Five Websites

Lecture 27 Day Seven: In conclusion

Section 8: What do you think?

Lecture 28 Here's what we'll do

Lecture 29 War on a different level - part 1

Lecture 30 War on a different level - part 2

Lecture 31 War on a different level - part 3

Lecture 32 Sanctions - a good idea?

Lecture 33 Punishers and the punished

Lecture 34 Interest rates

Lecture 35 Davos and globalisation - part 1

Lecture 36 Davos and globalisation - part 2

Lecture 37 Davos and globalisation - part 3

Lecture 38 Breathe deeply...or perhaps not: part 1

Lecture 39 Breather deeply...or not: part 2

Section 9: Compulsory : Key Macroeconomics vocabulary

Lecture 40 Introduction

Lecture 41 Lecture 1

Lecture 42 Lecture 2

Lecture 43 Lecture 3

Lecture 44 Lecture 4

Lecture 45 Lecture 5

Lecture 46 Lecture 6

Lecture 47 Lecture 7

Lecture 48 Lecture 8

Lecture 49 Lecture 9

Lecture 50 Lecture 10

Section 10: Test

Lecture 51 Introduction

Lecture 52 Day 1

Lecture 53 Day 2

Lecture 54 Day 3

Lecture 55 Day 4

Lecture 56 Day 5

Lecture 57 Day 6

Lecture 58 Day 7

Lecture 59 Day 8

Lecture 60 Day 9

Lecture 61 Day 10

Lecture 62 Day 11

Lecture 63 Day 12

Lecture 64 Day 13

Lecture 65 Day 14

Lecture 66 Day 15

Lecture 67 Day 16

Lecture 68 Day 17

Lecture 69 Day 18

Lecture 70 Day 19

Lecture 71 Day 20

Lecture 72 Day 21

Lecture 73 Day 22

Lecture 74 Day 23

Lecture 75 Day 24

Lecture 76 Day 25

Lecture 77 Day 26

Section 11: Compulsory : Covid-19 and the Economy

Lecture 78 Introduction

Lecture 79 Supply side shocks

Lecture 80 Targeted economic policies

Lecture 81 Three charts (part 1)

Lecture 82 Three charts (part 2)

Lecture 83 Three charts (part 3)

Lecture 84 Global shares

Lecture 85 Pollution

Lecture 86 Restaurant Bookings

Lecture 87 Manufacturing activity

Lecture 88 Stock Market

Lecture 89 Commodity Prices

Lecture 90 Air Quality

Lecture 91 A silver lining

Lecture 92 Upward trajectory?

Lecture 93 How you can help yourself

Lecture 94 Two thoughts

Section 12: Globalisation

Lecture 95 Introduction and Keynote Address

Lecture 96 Some causes of globalisation

Lecture 97 More on causes of globalisation

Lecture 98 Characteristics of globalisation part 1

Lecture 99 Characteristics of globalisation part 2

Lecture 100 Winners and Losers

Lecture 101 How does globalisation affect the UK Economy?

Lecture 102 Globalisation - the disadvantages

Lecture 103 Is globalisation irreversible?

Lecture 104 Discussion

Lecture 105 Multinationals and globalisation part 1

Lecture 106 Multinationals and globalisation part 2

Section 13: The Great Reset - hugely provocative in order to stimulate discussion!

Lecture 107 Introduction - pt 1

Lecture 108 Introduction - pt 2

Lecture 109 Introduction - pt 3

Lecture 110 Health - pt 1

Lecture 111 Health - pt 2

Lecture 112 Health - pt 3

Lecture 113 Wealth

Lecture 114 Ownership - pt 1

Lecture 115 Ownership - pt 2

Lecture 116 Continuance

Lecture 117 Energy - pt 1

Lecture 118 Energy - pt 2

Lecture 119 Energy - pt 3

Lecture 120 Nutrition - pt 1

Lecture 121 Nutrition - pt 2

Lecture 122 Nutrition - pt 3

Lecture 123 Surveillance

Lecture 124 Individual sovereignty

Lecture 125 P.P.S.

Section 14: The Economic Burden of Strokes

Lecture 126 The Economic Costs of a Stroke

Lecture 127 Looking at some data

Lecture 128 Some studies

Lecture 129 The global burden

Lecture 130 Art Therapy and Strokes

Lecture 131 Can the arts help stroke rehabilitation?

Lecture 132 Therapies (Part 1)

Lecture 133 Therapies (Part 2)

Lecture 134 Therapies (Part 3)

Lecture 135 Over to you! (Part 1)

Lecture 136 Over to you! (Part 2)

Section 15: Compulsory : Introduction

Lecture 137 Original preview

Lecture 138 About the lecturer

Lecture 139 The Aggregate Demand Curve

Lecture 140 The AD slope

Lecture 141 Aggregate Supply

Lecture 142 Shifts in Aggregate Supply/Nov. 2017 Budget

Lecture 143 Macro-economic Equilibrium

Lecture 144 The Multiplier Effect

Lecture 145 Spare capacity

Lecture 146 Raising output and price level

Lecture 147 Increase in price level, not output

Lecture 148 Revision

Lecture 149 Increase in BOTH AD/AS

Lecture 150 Increase in AD greater than in AS

Lecture 151 Negative output gap

Lecture 152 Positive output gap

Lecture 153 Export-led growth

Lecture 154 Supply-led growth

Lecture 155 Supply-side policies

Lecture 156 Inflation

Lecture 157 Cost push inflation

Lecture 158 A beneficial effect of unemployment

Lecture 159 Current Account Deficit

Lecture 160 SPICED

Lecture 161 Deflationary effect

Lecture 162 Supply-side policies revisited

Lecture 163 Expansionary Monetary Policy

Lecture 164 Deflating the economy

Lecture 165 Increase in output, no change in macro-economic equilibrium

Lecture 166 Overall revision

Section 16: Optional : Revision & current affairs

Lecture 167 Tariffs

Lecture 168 Unemployment

Lecture 169 Economic growth

Lecture 170 Inward investment

Lecture 171 Brexit / Negative multiplier / investment

Lecture 172 Economic growth / exchange rate

Lecture 173 Growth

Lecture 174 World Cup effect

Lecture 175 Economic growth

Lecture 176 Economic growth

Lecture 177 Trade war

Lecture 178 World Cup

Lecture 179 Output gaps

Lecture 180 Supply-side policies

Section 17: Optional : Current Affairs 10th November 2020

Lecture 181 Current Affairs 10th November 2020

Lecture 182 Part 2

Lecture 183 Part 3

Lecture 184 Part 4

Lecture 185 Part 5

Lecture 186 Part 6

Lecture 187 Part 7

Lecture 188 Part 8

Section 18: Optional : Current Affairs 11th November 2020

Lecture 189 Current Affairs 11th November 2020

Lecture 190 Part 2

Lecture 191 Part 3

Lecture 192 Part 4

Lecture 193 Part 5

Lecture 194 Part 6

Lecture 195 Part 7

Lecture 196 Part 8

Lecture 197 Part 9

Section 19: Optional : Boris Johnson new Prime Minister: the pledges

Lecture 198 The Introduction - pt 1

Lecture 199 Introduction - pt 2

Lecture 200 Boris's speech analysed - pt 1

Lecture 201 Boris's speech analysed - pt 2

Lecture 202 Income tax

Lecture 203 Increasing the starting point for National Insurance

Lecture 204 Raising Education Spending

Lecture 205 Employing more police officers

Lecture 206 Free TV Licences

Lecture 207 Stamp Duty

Lecture 208 The Fourth Option

Lecture 209 Six Free Ports

Lecture 210 Full Fibre Broadband

Lecture 211 Raising the National Minimum Wage

Lecture 212 The NHS

Lecture 213 What's been inherited?

Lecture 214 Divorcing the EU - ?39bn?

Section 20: Optional : General Election and the UK Economy

Lecture 215 Introduction

Lecture 216 General Election and the UK Economy (Part 1)

Lecture 217 General Election and the UK Economy (Part 2)

Lecture 218 General Election and the UK Economy (Part 3)

Lecture 219 General Election and the UK Economy (Part 4)

Lecture 220 General Election and the UK Economy (Part 5)

Lecture 221 General Election and the UK Economy (Part 6)

Lecture 222 General Election and the UK Economy (Part 7)

Lecture 223 General Election and the UK Economy (Part 8)

Lecture 224 General Election and the UK Economy (Part 9)

Lecture 225 General Election and the UK Economy (Part 10)

Lecture 226 General Election and the UK Economy (Part 11)

Lecture 227 General Election and the UK Economy (Part 12)

Section 21: Compulsory : Post-COVID

Lecture 228 Introduction

Lecture 229 Trade offs

Lecture 230 Trade offs (Part 3)

Lecture 231 Post-COVID slump

Lecture 232 Post-COVID slump (Part 2)

Lecture 233 Post-COVID slump (Part 3)

Lecture 234 Post-COVID slump (Part 4)

Lecture 235 Post-COVID slump (Part 5)

Lecture 236 Recession

Lecture 237 Recession (Part 2)

Lecture 238 Recession (Part 3)

Lecture 239 Recession (Part 4)

Lecture 240 Recession (Part 5)

Lecture 241 Recession (Part 6)

Lecture 242 Recession (Part 7)

Lecture 243 Recession (part 8)

Lecture 244 Confidence (Part 1)

Lecture 245 Confidence (Part 2)

Lecture 246 Confidence (Part 3)

Lecture 247 Confidence (Part 4)

Lecture 248 Confidence (Part 5)

Lecture 249 Confidence (Part 6)

Lecture 250 Confidence (Part 7)

Lecture 251 Confidence (Part 8)

Lecture 252 Confidence (Part 9)

Lecture 253 Confidence (Part 10)

Lecture 254 Confidence (Part 11)

Lecture 255 Confidence (Part 12)

Lecture 256 Confidence (Part 13)

Lecture 257 Confidence (Part 14)

Lecture 258 Confidence (Part 15)

Lecture 259 Confidence (Part 16)

Lecture 260 Imbalances in society

Lecture 261 Imbalances in society (Part 2)

Lecture 262 Imbalances in society (Part 3)

Lecture 263 Imbalances in society (Part 4)

Lecture 264 Imbalances in society (Part 5)

Lecture 265 Imbalances in society (Part 6)

Lecture 266 Imbalances in society (Part 7)

Lecture 267 Imbalances in society (Part 8)

Lecture 268 Imbalances in society (Part 9)

Lecture 269 Imbalances in society (Part 10)

Lecture 270 Imbalances in society (Part 11)

Lecture 271 Imbalances in society (Part 12)

Lecture 272 Imbalances in society (Part 13)

Lecture 273 Imbalances in society (Part 14)

Lecture 274 Imbalances in society (Part 15)

Lecture 275 Imbalances in society (Part 16)

Lecture 276 Imbalances in society (Part 17)

Lecture 277 Imbalances in society (Part 18)

Lecture 278 Imbalances in society (Part 19)

Lecture 279 Imbalances in society (Part 20)

Section 22: Compulsory : The USA Economy

Lecture 280 Introduction

Lecture 281 Overview

Lecture 282 Is America great again?

Lecture 283 A manifesto of mistruths?

Lecture 284 The system is broken - says billionaire Ray Dailo

Lecture 285 Is capitalism not working?

Lecture 286 The diagnosis

Lecture 287 What I (Ray Dalio) think

Lecture 288 Coronavirus and the US Economy

Lecture 289 Trump may be a good President but...

Lecture 290 Employment

Lecture 291 But the economy is doing well...?

Lecture 292 Confidence is high?

Lecture 293 Conclusion - part 1: Job gains

Lecture 294 Conclusion - part 2: Unemployment rate

Lecture 295 Conclusion - part 3: Economic growth

Lecture 296 Conclusion - part 4: . Middle-class income

Lecture 297 Conclusion - part 5: Stock market

Lecture 298 Conclusion - part 6: Food stamps

Lecture 299 Conclusion - part 7: Manufacturing

Lecture 300 Conclusion part 8: Home prices

Lecture 301 Conclusion part 9: Gas prices

Lecture 302 Conclusion part 10: Federal Debt

Lecture 303 Conclusion - part 11: Wages

Lecture 304 Conclusion - part 12: Confidence

Lecture 305 Conclusion - part 13: Trade deficit

Lecture 306 Conclusion - part 14: Uninsured Americans

Lecture 307 Conclusion - part 15: Business investment

Section 23: Compulsory : Trump(onomics) v Biden(omics)

Lecture 308 Introduction

Lecture 309 Will the voters listen to 700 Economists? - Part 1

Lecture 310 Will the voters listen to 700 Economists? - Part 2

Lecture 311 Will the voters listen to 700 Economists? - Part 3

Lecture 312 Will the voters listen to 700 Economists? - Part 4

Lecture 313 Will the voters listen to 700 Economists? - Part 5

Lecture 314 Will the voters listen to 700 Economists? - Part 6

Lecture 315 Will the voters listen to 700 Economists? - Part 7

Lecture 316 The Biden plan...bit by bit...you comment - Part 1

Lecture 317 The Biden plan...bit by bit...you comment - Part 2

Lecture 318 The Biden plan...bit by bit...you comment - Part 3

Lecture 319 The Biden plan...bit by bit...you comment - Part 4

Lecture 320 The Biden plan...bit by bit...you comment - Part 5

Lecture 321 The Biden plan...bit by bit...you comment - Part 6

Lecture 322 The Biden plan...bit by bit...you comment - Part 7

Lecture 323 The Biden plan...bit by bit...you comment - Part 8

Lecture 324 He said...

Section 24: Compulsory : The Nigerian Economy

Lecture 325 Introduction

Lecture 326 The Economy: An overview

Lecture 327 Impact of Covid - just one example

Lecture 328 Covid-19 - wider implications

Lecture 329 Stimulus

Lecture 330 A positive note

Section 25: Optional : April Fools' Economics

Lecture 331 Introduction

Lecture 332 Pranks

Lecture 333 Cutting costs

Lecture 334 Guardian on Twitter

Lecture 335 More pranks

Lecture 336 Conclusion

Section 26: Compulsory : Multiple Choice: Macro

Lecture 337 Multiple Choice test - pt 1

Lecture 338 Multiple choice test 1 - pt 2

Lecture 339 Multiple choice test 1 - pt 3

Lecture 340 Multiple Choice test 1 - pt 4

Lecture 341 Multiple Choice test 1 - pt 5

Lecture 342 Multiple choice test 2 - pt 1

Lecture 343 Multiple choice test 2 - pt 2

Lecture 344 Multiple choice test 2 - pt 3

Lecture 345 Multiple choice test 2 - pt 4

Lecture 346 Multiple choice test 2 - pt 5

Lecture 347 Multiple Choice test 3 - pt 1

Lecture 348 Multiple choice test 3 - pt 2

Lecture 349 Multiple choice test 3 - pt 3

Lecture 350 Multiple choice test 3 - pt 4

Lecture 351 Multiple choice test 3 - pt 5

Lecture 352 Multiple Choice test 4 - pt 1

Lecture 353 Multiple choice test 4 - pt 2

Lecture 354 Multiple choice test 4 - pt 3

Lecture 355 Multiple choice test 4 - pt 4

Lecture 356 Multiple choice test 4 - pt 5

Lecture 357 Multiple choice test 5 - pt 1

Lecture 358 Multiple choice test 5 - pt 2

Lecture 359 Multiple choice test 5 - pt 3

Lecture 360 Multiple choice test 5 - pt 4

Lecture 361 Multiple choice test 5 - pt 5

Lecture 362 Multiple choice test 6 - pt 1

Lecture 363 Multiple choice test 6 - pt 2

Lecture 364 Multiple choice test 6 - pt 3

Lecture 365 Multiple choice test 6 - pt 4

Lecture 366 Multiple choice test 6 - pt 5

Lecture 367 Multiple choice test 6 - pt 6

Lecture 368 Multiple choice test 6 - pt 7

Section 27: Diploma - compulsory section - 1

Lecture 369 Introduction

Lecture 370 Difficult financial backdrop

Lecture 371 Squeezing public sector - pt 1

Lecture 372 Squeezing public sector - pt 2

Lecture 373 Levelling up

Lecture 374 What happens next

Lecture 375 Covid and Brexit

Lecture 376 Paul

Lecture 377 Andrew

Lecture 378 Douglas

Lecture 379 Julian

Lecture 380 Chris

Section 28: Diploma: Compulsory Section 2 : Budget 2021

Lecture 381 Stopping waste creates funds! - pt 1

Lecture 382 Stopping waste creates funds! - pt 2

Lecture 383 Stopping waste creates funds! - pt 3

Lecture 384 Stopping waste creates funds! - pt 4

Lecture 385 GDP

Lecture 386 UK Public finances

Lecture 387 Unemployment - pt 1

Lecture 388 Unemployment - pt 2

Lecture 389 Unemployment - pt 3

Lecture 390 Furloughing

Lecture 391 Inequality - pt 1

Lecture 392 Inequality - pt 2

Lecture 393 Covid Policy - measures confidence

Section 29: Compulsory : Brexit - the Update

Lecture 394 Brexit - the Update : 1

Section 30: Optional : Learning and Mind Maps

Lecture 395 Teaching is the art of causing learning (part 1)

Lecture 396 Teaching is the art of causing learning (part 2)

Lecture 397 Teaching is the art of causing learning (part 3)

Lecture 398 Mind maps

Lecture 399 Mind maps (part 2)

Section 31: Mind Map a Textbook!

Lecture 400 Mind Map a Textbook!

Section 32: Improving your English (Optional)

Lecture 401 Introduction

Lecture 402 Lesson 1

Lecture 403 Lesson 2

Lecture 404 Lesson 3

Lecture 405 Lesson 4

Lecture 406 Lesson 5

Lecture 407 Lesson 6

Lecture 408 Lesson 7

Lecture 409 Lesson 8

Section 33: Bonus

Lecture 410 Bonus

Everyone interested in the American economy,Anyone commencing a course in macro-economics,1st Degree students,Anyone who has an interest in understanding the basics of economic policy,Non-specialists in Economics

Homepage

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Code:

https://rapidgator.net/file/4bfc552f1891c2912e4ce058c27b84e1/Oxford_Diploma_in_Macroeconomics.part01.rar.html
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https://rapidgator.net/file/75268d74ef3155676afdf7290b8a7c47/Oxford_Diploma_in_Macroeconomics.part10.rar.html

Modern Natural Language Processing(Nlp) Using Deep Learning.
Published 6/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 10.96 GB | Duration: 28h 32m

Implement Sentiment Analysis, Speech Recognition, Translation, Question Answering & Question Answering with TensorFlow 2



What you'll learn
Introductory Python, to more advanced concepts like Object Oriented Programming, decorators, generators, and even specialized libraries like Numpy & Matplotlib
Mastery of the fundamentals of Machine Learning and The Machine Learning Developmment Lifecycle.
Linear Regression, Logistic Regression and Neural Networks built from scratch.
TensorFlow installation, Basics and training neural networks with TensorFlow 2.
Convolutional Neural Networks, Modern ConvNets, training object recognition models with TensorFlow 2.
Recurrent Neural Networks, Modern RNNs, training sentiment analysis models with TensorFlow 2.
Neural Machine Translation, Question Answering, Image Captioning, Sentiment Analysis, Speech recognition
Deploying a Deep Learning Model with Google Cloud Function.
Requirements
Basic Math
No Programming experience.

Description
In this course, we shall look at core Deep Learning concepts and apply our knowledge to solve real world problems in Natural Language Processing using the Python Programming Language and TensorFlow 2. We shall explain core Machine Learning topics like Linear Regression, Logistic Regression, Multi-class classification and Neural Networks. If you've gotten to this point, it means you are interested in mastering Deep Learning For NLP and using your skills to solve practical problems.You may already have some knowledge on Machine learning, Natural Language Processing or Deep Learning, or you may be coming in contact with Deep Learning for the very first time. It doesn't matter from which end you come from, because at the end of this course, you shall be an expert with much hands-on experience.You shall work on several projects like Sentiment Analysis, Machine Translation, Question Answering, Image captioning, speech recognition and more, using knowledge gained from this course.If you are willing to move a step further in your career, this course is destined for you and we are super excited to help achieve your goals!This course is offered to you by Neuralearn. And just like every other course by Neuralearn, we lay much emphasis on feedback. Your reviews and questions in the forum, will help us better this course. Feel free to ask as many questions as possible on the forum. We do our very best to reply in the shortest possible time.Here are the different concepts you'll master after completing this course.Fundamentals Machine Learning.Essential Python ProgrammingChoosing Machine Model based on taskError sanctioningLinear RegressionLogistic RegressionMulti-class RegressionNeural NetworksTraining and optimizationPerformance MeasurementValidation and TestingBuilding Machine Learning models from scratch in python.Overfitting and UnderfittingShufflingEnsemblingWeight initializationData imbalanceLearning rate decayNormalizationHyperparameter tuningTensorFlow InstallationTraining neural networks with TensorFlow 2Imagenet training with TensorFlowConvolutional Neural NetworksVGGNetsResNetsInceptionNetsMobileNetsEffic ientNetsTransfer Learning and FineTuningData AugmentationCallbacksMonitoring with TensorboardIMDB Dataset Sentiment AnalysisRecurrent Neural Networks.LSTMGRU1D ConvolutionBi directional RNNWord2VecMachine TranslationAttention ModelTransformer NetworkVision TransformersLSH AttentionImage CaptioningQuestion AnsweringBERT ModelHuggingFaceDeploying A Deep Learning Model with Google Cloud FunctionsYOU'LL ALSO GET:Lifetime access to This CourseFriendly and Prompt support in the Q&A sectionUdemy Certificate of Completion available for download30-day money back guaranteeWho this course is for:Beginner Python Developers curious about Applying Deep Learning for NLPNLP practitioners who want to learn how state of art Natural Language Processing models are built and trained using deep learning.Anyone who wants to master deep learning fundamentals and also practice deep learning for NLP using best practices in TensorFlow 2.Deep Learning for NLP Practitioners who want gain a mastery of how things work under the hood.Enjoy!!!

Overview

Section 1: Introduction

Lecture 1 Welcome

Lecture 2 General Introduction

Lecture 3 About this Course

Section 2: Essential Python Programming

Lecture 4 Python Installation

Lecture 5 Variables and Basic Operators

Lecture 6 Conditional Statements

Lecture 7 Loops

Lecture 8 Methods

Lecture 9 Objects and Classes

Lecture 10 Operator Overloading

Lecture 11 Method Types

Lecture 12 Inheritance

Lecture 13 Encapsulation

Lecture 14 Polymorphism

Lecture 15 Decorators

Lecture 16 Generators

Lecture 17 Numpy Package

Lecture 18 Introduction to Matplotlib

Section 3: Introduction to Machine Learning

Lecture 19 Task - Machine Learning Development Life Cycle

Lecture 20 Data - Machine Learning Development Life Cycle

Lecture 21 Model - Machine Learning Development Life Cycle

Lecture 22 Error Sanctioning - Machine Learning Development Life Cycle

Lecture 23 Linear Regression

Lecture 24 Logistic Regression

Lecture 25 Linear Regression Practice

Lecture 26 Logistic Regression Practice

Lecture 27 Optimization

Lecture 28 Performance Measurement

Lecture 29 Validation and Testing

Lecture 30 Softmax Regression - Data

Lecture 31 Softmax Regression - Modeling

Lecture 32 Softmax Regression - Error Sanctioning

Lecture 33 Softmax Regression - Training and Optimization

Lecture 34 Softmax Regression - Performance Measurement

Lecture 35 Neural Networks - Modeling

Lecture 36 Neural Networks - Error Sanctioning

Lecture 37 Neural Networks - Training and Optimization

Lecture 38 Training and Optimization Practice

Lecture 39 Neural Networks - Performance Measurement

Lecture 40 Neural Networks - Validation and testing

Lecture 41 Solving Overfitting and Underfitting

Lecture 42 Shuffling

Lecture 43 Ensembling

Lecture 44 Weight Initialization

Lecture 45 Data Imbalance

Lecture 46 Learning rate decay

Lecture 47 Normalization

Lecture 48 Hyperparameter tuning

Lecture 49 In Class Exercise

Section 4: Introduction to TensorFlow 2

Lecture 50 TensorFlow Installation

Lecture 51 Introduction to TensorFlow

Lecture 52 TensorFlow Basics

Lecture 53 Training a Neural Network with TensorFlow

Section 5: Introduction to Deep NLP with TensorFlow 2

Lecture 54 Sentiment Analysis Dataset

Lecture 55 Imdb Dataset Code

Lecture 56 Recurrent Neural Networks

Lecture 57 Training and Optimization, Evaluation

Lecture 58 Embeddings

Lecture 59 LSTM

Lecture 60 GRU

Lecture 61 1D Convolutions

Lecture 62 Bidirectional RNNs

Lecture 63 Word2Vec

Lecture 64 Word2Vec Practice

Lecture 65 RNN Project

Section 6: Neural Machine Translation with TensorFlow 2

Lecture 66 Fre-Eng Dataset and Task

Lecture 67 Sequence to Sequence Models

Lecture 68 Training Sequence to Sequence Models

Lecture 69 Performance Measurement - BLEU Score

Lecture 70 Testing Sequence to Sequence Models

Lecture 71 Attention Mechanism - Bahdanau Attention

Lecture 72 Transformers Theory

Lecture 73 Building Transformers with TensorFlow 2

Lecture 74 Text Normalization project

Section 7: Question Answering with TensorFlow 2

Lecture 75 Understanding Question Answering

Lecture 76 SQUAD dataset

Lecture 77 SQUAD dataset preparation

Lecture 78 Context - Answer Network

Lecture 79 Training and Optimization

Lecture 80 Data Augmentation

Lecture 81 LSH Attention

Lecture 82 BERT Model

Lecture 83 BERT Practice

Lecture 84 GPT Based Chatbot

Section 8: Automatic Speech Recognition

Lecture 85 What is Automatic Speech Recognition

Lecture 86 LJ- Speech Dataset

Lecture 87 Fourier Transform

Lecture 88 Short Time Fourier Transform

Lecture 89 Conv - CTC Model

Lecture 90 Speech Transformer

Lecture 91 Audio Classification project

Section 9: Image Captioning

Lecture 92 Flickr 30k Dataset

Lecture 93 CNN- Transformer Model

Lecture 94 Training and Optimization

Lecture 95 Vision Transformers

Lecture 96 OCR Project

Section 10: Shipping a Model with Google Cloud Function

Lecture 97 Introduction

Lecture 98 Model Preparation

Lecture 99 Deployment

Beginner Python Developers curious about Deep Learning.,Deep Learning Practitioners who want gain a mastery of how things work under the hoods,Anyone who wants to master deep learning fundamentals and also practice deep learning using best practices in TensorFlow.,Natural Language Processing practitioners who want to learn how state of art NLP models are built and trained using deep learning.

Homepage

Code:

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Code:

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Code:

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