50-Days 50-Projects: Data Science, Machine Learning Bootcamp
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50-Days 50-Projects: Data Science, Machine Learning Bootcamp
Last Update: 10/2021
Duration: 46h 10m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 22.9 GB
Genre: eLearning | Language: English
Build & Deploy Data Science, ML, Deep Learning Projects Course(Python, Flask, Django, AWS, Azure, GCP, Heruko Cloud)
What you'll learn:
Make robust Machine Learning models
Understand the full product workflow for the machine learning lifecycle.
Real life case studies and projects to understand how things are done in the real world
Know which Machine Learning model to choose for each type of problem
Learn how to program in Python using the latest Python 3
Learn to pre process data, clean data, and analyze large data
Learn to use NumPy for Numerical Data
Learn to use Pandas for Data Analysis
Have a great intuition of many Machine Learning models
Requirements:
Some prior coding or python scripting experience is required.
Basic Knowledge of machine learning & data science
Description:
In This Course, Solve Business Problems Using Data Science Practically. Learn To Build & Deploy Machine Learning, Data Science, Artificial Intelligence, Auto Ml, Deep Learning, Natural Language Processing (Nlp) Web Applications Projects With Python (Flask, Django, Heroku, AWS, Azure, GCP, IBM Watson, Streamlit Cloud).
Data science can be defined as a blend of mathematics, business acumen, tools, algorithms, and machine learning techniques, all of which help us in finding out the hidden insights or patterns from raw data which can be of major use in the formation of big business decisions.
In data science, one deals with both structured and unstructured data. The algorithms also involve predictive analytics. Thus, data science is all about the present and future. That is, finding out the trends based on historical data which can be useful for present decisions, and finding patterns that can be modeled and can be used for predictions to see what things may look like in the future.
Data Science is an amalgamation of Statistics, Tools, and Business knowledge. So, it becomes imperative for a Data Scientist to have good knowledge and understanding of these.
With the amount of data that is being generated and the evolution in the field of Analytics, Data Science has turned out to be a necessity for companies. To make the most out of their data, companies from all domains, be it Finance, Marketing, Retail, IT or Bank. All are looking for Data Scientists. This has led to a huge demand for Data Scientists all over the globe. With the kind of salary that a company has to offer and IBM is declaring it as the trending job of the 21st century, it is a lucrative job for many. This field is such that anyone from any background can make a career as a Data Scientist.
In This Course, We Are Going To Work On 50 Real World Projects Listed Below:
Project-1: Pan Card Tempering Detector App -Deploy On Heroku
Project-2: Dog breed prediction Flask App
Project-3: Image Watermarking App -Deploy On Heroku
Project-4: Traffic sign classification
Project-5: Text Extraction From Images Application
Project-6: Plant Disease Prediction Streamlit App
Project-7: Vehicle Detection And Counting Flask App
Project-8: Create A Face Swapping Flask App
Project-9: Bird Species Prediction Flask App
Project-10: Intel Image Classification Flask App
Project-11: Language Translator App Using IBM Cloud Service -Deploy On Heroku
Project-12: Predict Views On Advertisement Using IBM Watson -Deploy On Heroku
Project-13: Laptop Price Predictor -Deploy On Heroku
Project-14: WhatsApp Text Analyzer -Deploy On Heroku
Project-15: Course Recommendation System -Deploy On Heroku
Project-16: IPL Match Win Predictor -Deploy On Heroku
Project-17: Body Fat Estimator App -Deploy On Microsoft Azure
Project-18: Campus Placement Predictor App -Deploy On Microsoft Azure
Project-19: Car Acceptability Predictor -Deploy On Google Cloud
Project-20: Book Genre Classification App -Deploy On Amazon Web Services
Project-21: Sentiment Analysis Django App -Deploy On Heroku
Project-22: Attrition Rate Django Application
Project-23: Find Legendary Pokemon Django App -Deploy On Heroku
Project-24: Face Detection Streamlit App
Project-25: Cats Vs Dogs Classification Flask App
Project-26: Customer Revenue Prediction App -Deploy On Heroku
Project-27: Gender From Voice Prediction App -Deploy On Heroku
Project-28: Restaurant Recommendation System
Project-29: Happiness Ranking Django App -Deploy On Heroku
Project-30: Forest Fire Prediction Django App -Deploy On Heroku
Project-31: Build Car Prices Prediction App -Deploy On Heroku
Project-32: Build Affair Count Django App -Deploy On Heroku
Project-33: Build Shrooming Predictions App -Deploy On Heroku
Project-34: Google Play App Rating prediction With Deployment On Heroku
Project-35: Build Bank Customers Predictions Django App -Deploy On Heroku
Project-36: Build Artist Sculpture Cost Prediction Django App -Deploy On Heroku
Project-37: Build Medical Cost Predictions Django App -Deploy On Heroku
Project-38: Phishing Webpages Classification Django App -Deploy On Heroku
Project-39: Clothing Fit-Size predictions Django App -Deploy On Heroku
Project-40: Build Similarity In-Text Django App -Deploy On Heroku
Project-41: Heart Attack Risk Prediction Using Eval ML (Auto ML)
Project-42: Credit Card Fraud Detection Using Pycaret (Auto ML)
Project-43: Flight Fare Prediction Using Auto SK Learn (Auto ML)
Project-44: Petrol Price Forecasting Using Auto Keras
Project-45: Bank Customer Churn Prediction Using H2O Auto ML
Project-46: Air Quality Index Predictor Using TPOT With End-To-End Deployment (Auto ML)
Project-47: Rain Prediction Using ML models & PyCaret With Deployment (Auto ML)
Project-48: Pizza Price Prediction Using ML And EVALML(Auto ML)
Project-49: IPL Cricket Score Prediction Using TPOT (Auto ML)
Project-50: Predicting Bike Rentals Count Using ML And H2O Auto ML
Tip: Create A 50 Days Study Plan, Spend 1-2hrs Per Day, Build 50 Projects In 50 Days.
The Only Course You Need To Become A Data Scientist, Get Hired And Start A New Career
Note (Read This): This Course Is Worth Of Your Time And Money, Enroll Now Before Offer Expires.Who this course is for:Anyone who is beginner in data science.
Who this course is for:
Anyone who is beginner in data science.
Homepage
Code:
http://www.udemy.com/course/real-world-data-science-machine-learning-projects/
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Code:
https://k2s.cc/file/ea0d4b438c9f0/real-world-data-science-machine-learning-projects.part01.rar
https://k2s.cc/file/68bb8852be9c3/real-world-data-science-machine-learning-projects.part02.rar
https://k2s.cc/file/e9bda7599e429/real-world-data-science-machine-learning-projects.part03.rar
https://k2s.cc/file/09882a5039073/real-world-data-science-machine-learning-projects.part04.rar
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https://k2s.cc/file/04ed6a00b92eb/real-world-data-science-machine-learning-projects.part07.rar
https://k2s.cc/file/77922df10c48f/real-world-data-science-machine-learning-projects.part08.rar
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https://k2s.cc/file/93f168d8cbe34/real-world-data-science-machine-learning-projects.part20.rar
https://k2s.cc/file/3244c5ce5a415/real-world-data-science-machine-learning-projects.part21.rar
https://k2s.cc/file/548a9d7b3decb/real-world-data-science-machine-learning-projects.part22.rar
https://k2s.cc/file/732c4bafe3b37/real-world-data-science-machine-learning-projects.part23.rar
Code:
https://rapidgator.net/file/dcfad6c3c63651b0309a9963bdbff439/real-world-data-science-machine-learning-projects.part01.rar.html
https://rapidgator.net/file/27e4429c58c04657cfa3b0d1f6d8f861/real-world-data-science-machine-learning-projects.part02.rar.html
https://rapidgator.net/file/85a63ea2a29f5f37fc57ef5865bebfd2/real-world-data-science-machine-learning-projects.part03.rar.html
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https://rapidgator.net/file/d9ac4ebc5e53b9b4f55085448bea40e2/real-world-data-science-machine-learning-projects.part05.rar.html
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https://rapidgator.net/file/2dafdf8480c69a3e24b18224d2182dba/real-world-data-science-machine-learning-projects.part23.rar.html
Python Bootcamp 2021: Build 8 Real World Python Projects
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Python Bootcamp 2021: Build 8 Real World Python Projects
Last Update: 8/2021
Duration: 19h 27m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 9.54 GB
Genre: eLearning | Language: English
Go From Beginner To Expert In Python Web Development: Learn To Develop Real Django Applications with SQLite, Tkinter
What you'll learn:
Understand how using frameworks like Django will save you a ton of time in web development
Learn how to use Python in Web Development
Improve your web development and coding resume
Become a professional Python Developer
Understand various Django Functions
Python Project On Learning Management System with Django
Python Project On Student Portal, Study Group
Python Project Productivity Tracker Application
Requirements:
Knowledge Of Python
Description:
The most appealing characteristic of Python is that it is an interpreted language. Interpreted languages are the programming languages that do not need to be compiled to run. An interpreter can run python code on any kind of computer, by itself. This means the programmer can quickly see the results, if or when they need to modify the code. On the flip side, this also means that Python is slower than a compiled language like C. And that is because it is not running on a machine code directly.
Because Python is an interpreted language, testing small snippets of code and moving them between different platforms is quite simple. Since Python is compatible with most of the operating systems, it is used universally, in a variety of applications.
Python is considered a beginners' programming language. As it is a high-level language, a programmer can focus on what to do instead of how to do it. This is one of the major reasons why writing programs in Python takes less time than in other programming languages.
Because Python is similar to English, many find it easier to learn than other programming languages. Developers can read and remember the Python syntaxes much easier than other programming languages.
Since Python supports scripting as well, it can be used to build large, commercial applications. The main factor behind Python's popularity in the IT world is its reliability. Being a high-level programming language, Python lets the user focus on the core functioning of the application. Meanwhile, the common programming tasks are handled by the language itself.
Now you can probably see why Python is one of the most favored programming languages by developers, data scientists, software engineers, and hackers! And the key factors behind its diverse userbase are flexibility, versatility, and object-oriented features. This is also why Python is used in complex fields like Machine Learning (ML) and Data Science (DS).Who this course is for:Beginners In Python
Who this course is for:
Beginners In Python
Homepage
Code:
http://www.udemy.com/course/python-for-beginners-bootcamp-build-amazing-python-apps
[Only registered and activated users can see links. Click Here To Register...]
Code:
https://k2s.cc/file/c877d13c49716/python-for-beginners-bootcamp-build-amazing-python-apps.part01.rar
https://k2s.cc/file/acdf6957bffa6/python-for-beginners-bootcamp-build-amazing-python-apps.part02.rar
https://k2s.cc/file/d051be9b08c42/python-for-beginners-bootcamp-build-amazing-python-apps.part03.rar
https://k2s.cc/file/c2e437f7a0783/python-for-beginners-bootcamp-build-amazing-python-apps.part04.rar
https://k2s.cc/file/7938d842cfa2e/python-for-beginners-bootcamp-build-amazing-python-apps.part05.rar
https://k2s.cc/file/d748fca346ec0/python-for-beginners-bootcamp-build-amazing-python-apps.part06.rar
https://k2s.cc/file/42125da4c585a/python-for-beginners-bootcamp-build-amazing-python-apps.part07.rar
https://k2s.cc/file/9070422e19474/python-for-beginners-bootcamp-build-amazing-python-apps.part08.rar
https://k2s.cc/file/b6930424db1b6/python-for-beginners-bootcamp-build-amazing-python-apps.part09.rar
https://k2s.cc/file/b54e3980b39bc/python-for-beginners-bootcamp-build-amazing-python-apps.part10.rar
Code:
https://rapidgator.net/file/5ebcaec9953c7df7545a2c78de7618bb/python-for-beginners-bootcamp-build-amazing-python-apps.part01.rar.html
https://rapidgator.net/file/d0b2c22c94b0e240782cfbc6ab830414/python-for-beginners-bootcamp-build-amazing-python-apps.part02.rar.html
https://rapidgator.net/file/d798f08249d5ded3bf538f36d6be4105/python-for-beginners-bootcamp-build-amazing-python-apps.part03.rar.html
https://rapidgator.net/file/6f43c1d76a5864ab683ea84c050ccb24/python-for-beginners-bootcamp-build-amazing-python-apps.part04.rar.html
https://rapidgator.net/file/32fe1c455e967f64b96a790487e3b679/python-for-beginners-bootcamp-build-amazing-python-apps.part05.rar.html
https://rapidgator.net/file/99118f09b987cdce971e6635aa7343a0/python-for-beginners-bootcamp-build-amazing-python-apps.part06.rar.html
https://rapidgator.net/file/91a65601e05619e23fb7beca1b07130c/python-for-beginners-bootcamp-build-amazing-python-apps.part07.rar.html
https://rapidgator.net/file/8a2dba6d6dd20ab1756795caf5b8fe03/python-for-beginners-bootcamp-build-amazing-python-apps.part08.rar.html
https://rapidgator.net/file/b1a04ed4f0e37df11a6dd794d074f0b2/python-for-beginners-bootcamp-build-amazing-python-apps.part09.rar.html
https://rapidgator.net/file/52259676503b8aafb03d25a78bdbe435/python-for-beginners-bootcamp-build-amazing-python-apps.part10.rar.html
PHP PDO & MySQL: Secure Registration & Login System with MFA
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PHP PDO & MySQL: Secure Registration & Login System with MFA
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 141 lectures (16h 3m) | Size: 9.3 GB
Learn PDO with this Ultimate PHP PDO Crash Course and Build a Complete and Secure Login & Registration System with MFA
What you'll learn:
1. Master the powerful and underutilize features of PDO, by using the jam-packed helper functions
2. Write secure queries with PDO - data validation, data sanitation, prepare statement and output escaping the right way.
3. Implement multi-factor authentication with OTP using Email and SMS
4. Build a real world project - A complete and secure registration & login system with MFA
5. Mobile number verification using textlocal API
6. Master CRUD in PDO with AJAX , JQuery and Bootstrap Modal
Requirements
1. Basic knowledge in PHP and MySQL (Basic Concept in PHP & MySQL are not covered in the course)
2. Comfortable working with any PHP development environment - XAMPP, MAMP, WampServer, EasyPHP etc
3. Comfortable working with any text editor - for example: notepad++, Visual Studio Code, Atom, Sublime
4. Knowledge in OOP & PDO will be a plus but not compulsory. Everything is explained from scratch
Description
Do you want to learn and understand PHP Database Objects (PDO)?
Do you want to know how to harness the power of PDO helper functions?
Do you want to know how to write DB Wrapper class and methods the proper way?
Do you want to be able to write slim, concise, reusable and secure code?
Do you want to know how to prevent the most common website vulnerabilities? Such as: SQL Injection, Broken Authentication and Session Management, Broken Access Control, Cross-site Scripting (XSS) and much more.
If your answer to all these is Yes, Then this course is for you.
This course begins by an in-depth study of PDO, with concreate examples to buttress the knowledge taught. At the end of this course, you will be well grounded in PDO- knowing when and how to use each helper function correctly.
In this course, I am going to walk you through the process of building a Complete and Secure User Registration | Login System in OOP using PHP & MySQL. We are going to accomplish this task using web technologies like: PDO, MySQL, JQuery, Ajax, Bootstrap 4 and PHPMailer libraries, TextLocal API(to send SMS), MailTrap API (to send email)
Taking cognizance of the so many tutorials/courses on PDO that failed to explain the real benefits of PDO, or even promote rather bad practices. As a result, half of PDO'S features remain in obscurity and almost never used by PHP developers, who as a result are constantly trying to reinvent the wheel which already exists in PDO.
The goal of this author is to highlight the common mistakes and bad practices, while showing the right way to do things. After a careful analysis of several YouTube videos, and other web tutorials, it's a sad reality that most of these creators are limited in their knowledge of PDO. Don't take my words for it, you will see with your own eyes. Part of this course include correcting/improving some random codes taken from the internet. So at the end of this course, you will have the knowledge and confidence to tell those YouTubers and other web tutorials creators that what they are doing is wrong.
This is course is jam-packed with a lot of examples, practical activities and hands-on exercises enough to take a PDO novice to a mastery level.
Considerable time and energy was spent on web security related issues. I have taken the best approach visa-visa web security- explaining and applying the concept of validation, sanitization, escaping, SQL Injection, and secure file upload, broken authentication and session management, sensitive data exposure and much more.
My promise to you is that, at the end of this course - you will find working with PDO a second nature that you wouldn't like go back to MySQLi driver or any other driver. You will start writing slim, concise, reusable and secure code. You are going to discover that PDO is even the easier option to MySQLi.
This course is for newbies, intermediate and even experienced level PDO |PHP developers, because I have pointed out some bad practices (and there are a lot) among the PHP developer's community. One of such is the indiscriminate use of the rowCount() function.
Main Features that stand out:
This course is jam-packed with a lot of features:
1. There are four different login modes:
Standard login with Secure Remember Me
MFA Login with Email OTP
MFA Login with Email OTP with JQuery & Ajax
MFA Login with SMS OTP with JQuery & Ajax
2. Two different Password Recovery modes:
Recover password with Email link
Recover password with Email OTP
3. Email verification & Resend Email verification link features
4. Identification and Authentication Failures Mitigation (featured in OWASP TOP 10 List of Web application Security Risks 2021, formerly known as Broken Authentication )
Limit login attempts
Automatic logout if inactive users
Strengthen password requirement -impose use of strong passwords
Implement Multi-factor Authentication in login & password recovery
5. An admin dashboard ONLY for master users. With the following features:
Show user online status -users can be either online or offline. If offline display the time in ago format e.g. 1 hour ago.
A Bootstrap modal to show user's individual data using JQuery & Ajax
A big data section - show the statistics
6. A multi-role login feature
7. Mobile Number Verification feature
8. A secure file upload feature
9. This course is built on a Security First Philosophy - meaning thinking about security even before we write a single line of code. The course is built on the backdrop of the OWASP TOP 10 List of Web application Security Risks. As such the following security measures were put in place:
Content Security Policy (CSP) - To guard against XSS (Cross-Site Scripting), clickjacking, and cross-site leak vulnerabilities
Cross-Site Request Forgery Attacks Mitigation (CSRF) -Implement anti-CSRF token as a protection measure
Prepare Statement - To guard against SQL Injection
Data Sanitization & Validation - To make sure the proper kind of data is saved into the database
Output Escaping/Encode - To guard against XSS attacks
10. PDO Wrapper class, helper functions and CRUD methods
Who this course is for
1. PHP PDO enthusiasts
2. Newbie in PDO
3. Freelance web developers who want to get a better grasp in PDO
4. Intermediate PHP developers who want to write slimmer, concise, more secure codes
5. Experience PHP developers who are still struggling with PDO
Homepage
Code:
https://anonymz.com/?https://www.udemy.com/course/secure-registration-login-system-mfa/
[Only registered and activated users can see links. Click Here To Register...]
Code:
https://rapidgator.net/file/1430ff64446f9ead3658397ccffa4efd/PHP_PDO_&_MySQL_Secure_Registration_&_Login_System_with_MFA.part01.rar.html
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https://rapidgator.net/file/42ebe896664f47a0b2fe46bd67671275/PHP_PDO_&_MySQL_Secure_Registration_&_Login_System_with_MFA.part10.rar.html
Code:
https://k2s.cc/file/d90d961661682/PHP_PDO___MySQL_Secure_Registration___Login_System_with_MFA.part01.rar
https://k2s.cc/file/8fa9417e3af5f/PHP_PDO___MySQL_Secure_Registration___Login_System_with_MFA.part02.rar
https://k2s.cc/file/6ff3e919ce21d/PHP_PDO___MySQL_Secure_Registration___Login_System_with_MFA.part03.rar
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40 Real World Data Science, Machine Learning Projects 2021
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40 Real World Data Science, Machine Learning Projects 2021
Last Update: 10/2021
Duration: 29h 23m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 14.3 GB
Genre: eLearning | Language: English
Learn To Build & Deploy AI, ML, DS, Deep Learning, NLP Web Apps With Python Projects Course(Flask, Django, Heruko Cloud)
What you'll learn:
Students Will Understand What Is Machine Learning
Why They Need To Learn Machine Learning
Difference Between Machine Learning, Deep Learning, Artificial Intelligence
What Are The Applications Of Machine Learning
Requirements:
Enthusiasm To Learn New Things
Description:
Solve Business Problems Using Data Science Practically. Learn To Build & Deploy Artificial Intelligence, Machine Learning, Data Science , Auto Ml, Deep Learning, Natural Language Processing (NLP) Web Applications Projects With Python (Flask, Django, Heruko, Streamlit Cloud).
How much does a Data Scientist make in the United States?
The national average salary for a Data Scientist is US$1,20,718 per year in the United States, 2.8k salaries reported, updated on July 15, 2021 (source: glassdoor)
Salaries by Company, Role, Average Base Salary in (USD)
Facebook Data Scientist makes US$1,36,000/yr. Analyzed from 1,014 salaries.
Amazon Data Scientist makes US$1,25,704/yr. Analyzed from 307 salaries.
Apple Data Scientist makes US$1,53,885/yr. Analyzed from 147 salaries.
Google Data Scientist makes US$1,48,316/yr. Analyzed from 252 salaries.
Quora, Inc. Data Scientist makes US$1,22,875/yr. Analyzed from 509 salaries.
Oracle Data Scientist makes US$1,48,396/yr. Analyzed from 458 salaries.
IBM Data Scientist makes US$1,32,662/yr. Analyzed from 388 salaries.
Microsoft Data Scientist makes US$1,33,810/yr. Analyzed from 205 salaries.
Walmart Data Scientist makes US$1,08,937/yr. Analyzed 187 salaries.
Cisco Systems Data Scientist makes US$1,57,228/yr. Analyzed from 184 salaries.
Uber Data Scientist makes US$1,43,661/yr. Analyzed from 151 salaries.
Intel Corporation Data Scientist makes US$1,25,930/yr. Analyzed from 131 salaries.
Airbnb Data Scientist makes US$1,80,569/yr. Analyzed from 122 salaries.
Adobe Data Scientist makes US$1,39,074/yr. Analyzed from 109 salaries.
In This Course, We Are Going To Work On 40 Real World Projects Listed Below:
Project-1 Pan Card Tempering Detector App (With Deployment)
Project-2 Dog breed prediction Flask App
Project-3 Image Watermarking App (With Deployment)
Project-4 Traffic sign classification
Project-5 Text Extraction From Images App
Project-6 Plant Disease Prediction App (With Deployment)
Project-7 Counting & Detecting Vehicles Flask App
Project-8 Face Swapping Deep Learning Application
Project-9 Bird Species Prediction App
Project-10 Intel Image Classification App
Project-11 Sentiment Analysis App (With Deployment)
Project-12 Attrition Rate Django App
Project-13 Pokemon Dataset App (With Deployment)
Project-14 Face Detection App Streamlit
Project-15 Cats Vs Dogs Classification App
Project-16 Customer Revenue Prediction App (With Deployment)
Project-17 Gender From Voice Prediction App
Project-18 Restaurant Recommendation System
Project-19 Happiness Ranking App
Project-20 Forest Fire Prediction App
Project-21 Black Friday Sale Prediction
Project-22 Sentiment Analysis Using Natural Language Processing
Project-23 Parkinson Syndrome Prediction
Project-24 Fake News Classifier Using NLP
Project-25 Toxic Comment Classifier Using NLP
Project-26 Movie Ratings Prediction (IMDB) Using NLP
Project-27 Air Quality Prediction
Project-28 Covid-19 Case Analysis
Project-29 Customer Churning Prediction
Project-30 Building A Chatbot Application (NLP)
Project-31: Video Game Sales Prediction App
Project-32: Car Selling Price Prediction App- Deploy On Heruku
Project-33: Affair Prediction App - Deploy On Heruku
Project-34: Mushroom Classification App - Deploy On Heruku
Project-35: Mobile App Rating Prediction Django App - Deploy On Heruku
Project-36: Heart Attack Risk Prediction With Auto ML
Project-37: Credit Card Fraud Detection using PyCaret
Project-38: Flight Fare Detection using Auto SK Learn
Project-39: Petrol Price Forecasting using Auto Keras
Project-40: Bank Customer Churn Prediction using H2O Auto ML
The Only Course With 40 Real World Projects In Data Science Domain.
Note (Read This): This Course Is Worth Of Your Time And Money, Enroll Now Before Offer Expires.
Who this course is for:
Machine Learning Enthusiasts
Homepage
Code:
http://www.udemy.com/course/intro-to-machine-learning-course
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Code:
https://k2s.cc/file/3a2a6e6a3a798/intro-to-machine-learning-course.part01.rar
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PRO EDU - Intro to Cinema 4D (PART 1) With Dustin Valkema
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PRO EDU - Intro to Cinema 4D (PART 1) With Dustin Valkema
Video: MPEG4 Video (H264) 1920x1080 23.976fps 1485kbps | Audio: AAC 48000Hz stereo 253kbps
Genre: eLearning | Duration: 18hrs+ | Language: English | Assets Included, C4D Files | File size: 28.2 GB
Everything is changing. Computer Generated Imagery is advancing into the photographic sphere by leaps and bounds, and photographers who want to stay ahead of the curve must learn how to take advantage of these new image making tools.
Intro to Cinema 4D is a foundational CGI course that will teach you everything you need to know to begin creating in the 3D space. From the language to textures and rendering, our instructor and professional CGI Artist Dustin Valkema will help you decode the complex tools used to create photorealistic 3D imagery. Everything you do from here on out will be based on these fundamental techniques, and allow you to move forward and confidently create.
UNDERSTAND THE GRAMMAR OF CREATION
Extruding, UV unwrapping, nodes, polycount, and displacement mapping may all sound like a foreign language right now, but before long these terms will be as familiar to you as ISO and aperture. You'll understand the grammar of 3D creation so you can conceptualize your projects, and communicate them properly to your team.
MODELING ISN'T JUST FOR MODELS
Creating and shaping 3D objects, or modeling, is a key part of any 3D endeavor. Especially if the goal is to create photorealistic props or locations. You'll learn to build and sculpt your models, match realistic proportions, and build a framework for models that can be used in any situation.
Homepage
Code:
https://anonymz.com/?https://proedu.com/products/intro-to-cinema-4d-part-1
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Code:
https://k2s.cc/file/686918e75bbda/I2C4D.part01.rar
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TTC - How to Play the Ukulele
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TTC - How to Play the Ukulele
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 24 Lessons (6h 27m) | Size: 5.43 GB
Small Instrument, Big Impact: Discover the UkuleleWith roots in the Portuguese braguinha and Hawaiian origins dating back to the 1870s, the ukulele is an instrument with a history as vibrant and storied as those who play it. First making its way to the islands in the hands of immigrant laborers on sugar plantations, the braguinha was gradually transformed in size, shape, and tuning, becoming the instrument we know today as the ukulele, or the "gift that came here."
Loved by the Hawaiian royal family, the ukulele was introduced into traditional Hawaiian music-particularly hula-and it has been a staple of Hawaiian musical culture ever since. With only four strings and a uniquely manageable size, the ukulele is the ideal instrument for every occasion. It enjoys a broad musical range, and the small fretboard and re-entrant tuning make it fun to learn and simple to play. Most significantly for those looking for an instrument to learn with few limitations for beginners, it is an easy instrument to find and inexpensive to purchase.
Dive into the magical world of this traditional Hawaiian instrument with Michael Poupko, a professional musician and instructor. Let Michael's 20-plus years of experience playing and teaching music take you from musical beginner to master of the "uke" in the 24 lessons of How to Play the Ukulele. If you are a stringed instrument novice, Michael's patient, easy-to-follow approach will have you strumming along in no time. If the ukulele is just the latest in a long line of instruments for you, his deft knowledge of music theory and structure will have you singing his praises to your own uke accompaniment before you know it.
Musical A, B, Cs
Begin your course with a short tutorial in music theory that is designed to ground your relationship to your ukulele with an increasingly rich understanding of the practices and possibilities of music. As your skills on the ukulele develop, so, too, will your musical knowledge. Throughout the course, Michael explains scales, major and minor chords, chord progressions and formulas, and much more. Most important, he addresses the complex topics in the context of your instrument and your growing experience playing it. By breaking down the fundamentals of music theory into manageable pieces and tying them expertly in with practical context, Michael provides a level of understanding that might otherwise take years to master.
In addition to the basics of music theory, this course begins by teaching you your way around your uke, from a review of the names and purposes of each part to an exploration of the different varieties of ukulele. Learn how to hold, tune, and care for your instrument; use an electronic tuner; and identify your strings by associated note. Although standard music notation is discussed briefly, Michael limits his notation focus on tablature, chord diagrams, and strumming charts-all designed to get you playing quickly and to give you access to the broadest possible range of songs on your ukulele.
Chords, Scales, and Melodies
After you learn the parts of your ukulele and the notes that the open strings make, you are ready to discover chords and chord progressions. Beginning slowly so that even a musical novice can experience almost immediate success, Michael leads you through the first six chords on the ukulele. He practices along with you, providing detailed information about hand shape, pressure, and placement to ensure that your notes ring clear and true. Then, he explains how tablature establishes finger placement on the frets with your left hand and which strings are played with the right.
Once you have the first six chords down, have practiced them until you are comfortable, and have used them in chord progressions to strum out your first few songs, it is time to move into the next section of the course focusing on adding more chords to your repertoire. Here, you will begin scale exercises, expand your understanding of note relationships, and try chord progressions in major and minor scales. With careful attention to your workbook, you will learn to play variations on "Amazing Grace," "Ode to Joy," as well as several custom compositions by your instructor. Each piece will support practice as well as enjoyment.
By just the mid-point in this impressive course, you will be playing traditional Hawaiian songs like "Aloha Oe" with increasing facility, and you will also have the needed skills to sight read ukulele tablature and take on some songs of your choice. With your workbook in hand and Michael as your guide, this musical adventure will prove so easy that you can't help but enjoy yourself every step of the way.
Picking and Strumming
As crucial as chord forms are, they remain only half of the ukulele musical equation. In each lesson throughout the course, Michael teaches you new, increasingly complex approaches, first to strumming and eventually adding in picking patterns to up your game and even take up the melody of your chosen music. Start with strumming in time to a metronome, gradually picking up speed as you become more comfortable and adding in fretted chords as you learn them. Then try new strum patterns, up and down in various combinations, and use these to broaden your song options. Finally, learn the fine art of fingerpicking, allowing you to capture individual notes and carry the melody of the songs you love.
When you know your chords by heart and the progressions start to come quickly to your fingers, Michael explains chord formulas and offers a range of songs for practicing your advancing skills. With alternating strumming and picking, you can revisit songs like "Aloha Oe" to accompany Michael as he plays and master a solo version for yourself.
Rhythm and Blues
From the first lesson, you will enhance your understanding of the role of rhythm in music. Michael uses a metronome to start with a slow, even tempo. Over the course of these lessons, you will gradually increase the speed and complexity of your rhythms. You will learn about time signatures, note and measure length, and even the use of the ukulele as a percussive instrument with deadened strings and creative combinations to make rhythmic sounds without pitch.
If you thought the ukulele was just for Hawaiian music, think again! Learn the 12-bar blues progression, a chord progression applicable to hundreds of songs in the blues tradition. With Michael's patient and steady instruction, you will learn the 12-bar blues in more than a half dozen keys, both major and minor. Finally, apply the C minor pentatonic scale to these soulful riffs, culminating in the song "Green Blues." As Michael consistently reminds us, if you need to take time to practice before you return to play along with him, this course format is ideal. Stop the video, take all the time you need, and rejoin Michael when you are ready to continue. As he says, "We have goals, not expectations."
Practice, Practice, Repeat
One of the best things about taking an instrumental video course is the ability to move at your own pace. Watch and re-watch these carefully crafted videos until you master the material in each, only moving on when you feel ready to try something new. If a particular segment, or entire lessons, seem challenging, you have the time and space you need as a learner to return repeatedly to the video until you master the skills to move on. There is no judgment, only support and encouragement. Each video ends with songs and exercises to practice on your own, using the workbook and your own developing mastery to move you forward and prepare you for the next invigorating musical tutorial.
All Together Now!
Focusing on the journey, having fun, and enjoying the experience of learning will keep you coming back for more instruction. Equally important, Michael's patient, steady style makes practicing feel effortless. The natural challenges along the way are just part of the joy of learning an instrument. He begins with material accessible to every learner, but with added information and context for those with more musical experience. Every step of the way, Michael builds gently, but surely, on what you have already mastered. Before long, your grasp of the basics of music theory and the intricacies of ukulele proficiency are manifested in songs old and new and in creative compositions and rhythms that express your personal musical "voice."
Music is not, as he reminds us, the notes on paper. Instead, it is the sound of music, shared from one person to another, filling the air with the magic of connection and song. Join Michael as he helps you find your musical soul and shares with you the skills you need to continue to explore the music of the ukulele for years to come. Take the plunge and begin a musical love affair with this extraordinary instrument-one likely to last a lifetime.
Homepage
Code:
https://anonymz.com/?https://www.thegreatcourses.com/courses/how-to-play-the-ukulele
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Code:
https://k2s.cc/file/5fbfd3565088e/How_to_Play_the_Ukulele.part1.rar
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Coloso - Human body drawing based on anatomy by Seok Jeong hyeon
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Coloso - Human body drawing based on anatomy by Seok Jeong hyeon
Video: MPEG4 Video (H264) 1920x1080 30fps 1500kbps | Audio: AAC 48000Hz stereo 317kbps
Genre: eLearning | Duration: 27hrs+ | Language: Korean | Subtitle: Korean, English | File size: 21 GB
Seok Jeong-hyeon, Korea's representative painter.
He has been involved in the cover illustration of Marvel, an illustrator's dream company for a long time. He wrote the 'Sakga's Anatomy Notebook', a textbook on figure painting , with a total of 650 pages, 2,000 pieces, and 9 years of work , and this book is setting an unprecedented record in art education books in Korea. In addition , he has worked in various forms that require the creativity and expertise of the illustrator , such as Lee Seung-cheol's 'Time is Fast' music video, Seo Taiji's Christmas Loween stage design, band Novasonic's album jacket and performance poster, and EXO's cosmetic package design.
Seok Jeong-hyeon, a master of drawing who has accumulated a lot of know-how as a painter. Through this class, he generously transfers
the core know-how of 'drawing the human body', which is the most important thing in drawing. In addition to corporate projects, he has a history of producing various videos such as music videos, game trailers, and main videos for broadcasters. The curriculum of the class was composed based on Seok Jeong-hyeon's concerns to efficiently produce high-quality videos in a short time.
Homepage
Code:
https://anonymz.com/?https://coloso.co.kr/illust_webtoon/illustrator_seokjunghyun
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Code:
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Data Science Masterclass 2021: Build 30 Real World Projects
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Data Science Masterclass 2021: Build 30 Real World Projects
Last Update: 10/2021
Duration: 21h 21m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 10.9 GB
Genre: eLearning | Language: English
Learn To Build & Deploy AI, DL, DS, Machine Learning, Web Apps With Python Projects (Flask, Django, Heruko Cloud Course)
What you'll learn:
Build Data Science Models
To know what problems Machine Learning can solve, and how the Machine Learning Process works.
The Impacts Machine Learning and Data Science is having on society.
Deployment Of Data Science Applications
Data Science Practical Applications
Why They Need To Learn Data Science
Requirements:
Knowledge Of Data Science
Description:
Data science is centered on building, cleaning, and organizing datasets. Data scientists create and leverage algorithms, statistical models, and their own custom analyses to collect and shape raw data into something that can be more easily understood.
Data scientists lay the groundwork for all of the analyses an organization performs. They do this by performing key functions, including:
Data wrangling: The process of cleaning and organizing data to be more readily used.
Statistical modeling: The process of running data through different models-such as regression, classification, and clustering models, among others-to identify relationships between variables and gain insight from the numbers.
Programming: The process of writing computer programs and algorithms in a variety of languages-such as R, Python, and SQL-that can be used to analyze large datasets more efficiently than through manual analysis.
Solve Business Problems Using Data Science Practically. Learn To Build & Deploy Artificial Intelligence, Machine Learning, Data Science , Auto Ml, Deep Learning, Natural Language Processing (NLP) Web Applications Projects With Python (Flask, Django, Heruko, Streamlit Cloud).
How much does a Data Scientist make in the United States?
The national average salary for a Data Scientist is US$1,20,718 per year in the United States, 2.8k salaries reported, updated on July 15, 2021 (source: glassdoor)
Salaries by Company, Role, Average Base Salary in (USD)
Facebook Data Scientist makes US$1,36,000/yr. Analyzed from 1,014 salaries.
Amazon Data Scientist makes US$1,25,704/yr. Analyzed from 307 salaries.
Apple Data Scientist makes US$1,53,885/yr. Analyzed from 147 salaries.
Google Data Scientist makes US$1,48,316/yr. Analyzed from 252 salaries.
Quora, Inc. Data Scientist makes US$1,22,875/yr. Analyzed from 509 salaries.
Oracle Data Scientist makes US$1,48,396/yr. Analyzed from 458 salaries.
IBM Data Scientist makes US$1,32,662/yr. Analyzed from 388 salaries.
Microsoft Data Scientist makes US$1,33,810/yr. Analyzed from 205 salaries.
Walmart Data Scientist makes US$1,08,937/yr. Analyzed 187 salaries.
Cisco Systems Data Scientist makes US$1,57,228/yr. Analyzed from 184 salaries.
Uber Data Scientist makes US$1,43,661/yr. Analyzed from 151 salaries.
Intel Corporation Data Scientist makes US$1,25,930/yr. Analyzed from 131 salaries.
Airbnb Data Scientist makes US$1,80,569/yr. Analyzed from 122 salaries.
Adobe Data Scientist makes US$1,39,074/yr. Analyzed from 109 salaries.
In This Course, We Are Going To Work On 30 Real World Projects Listed Below:
Project-1 Pan Card Tempering Detector App (With Deployment)
Project-2 Dog breed prediction Flask App
Project-3 Image Watermarking App (With Deployment)
Project-4 Traffic sign classification
Project-5 Text Extraction From Images App
Project-6 Plant Disease Prediction App (With Deployment)
Project-7 Counting & Detecting Vehicles Flask App
Project-8 Face Swapping Deep Learning Application
Project-9 Bird Species Prediction App
Project-10 Intel Image Classification App
Project-11 Sentiment Analysis App (With Deployment)
Project-12 Attrition Rate Django App
Project-13 Pokemon Dataset App (With Deployment)
Project-14 Face Detection App Streamlit
Project-15 Cats Vs Dogs Classification App
Project-16 Customer Revenue Prediction App (With Deployment)
Project-17 Gender From Voice Prediction App
Project-18 Restaurant Recommendation System
Project-19 Happiness Ranking App
Project-20 Forest Fire Prediction App
Project-21 Black Friday Sale Prediction
Project-22 Sentiment Analysis Using Natural Language Processing
Project-23 Parkinson Syndrome Prediction
Project-24 Fake News Classifier Using NLP
Project-25 Toxic Comment Classifier Using NLP
Project-26 Movie Ratings Prediction (IMDB) Using NLP
Project-27 Air Quality Prediction
Project-28 Covid-19 Case Analysis
Project-29 Customer Churning Prediction
Project-30 Building A Chatbot Application (NLP)
Note (Read This): This Course Is Worth Of Your Time And Money, Enroll Now Before Offer Expires
Who this course is for:
Beginners In Data Science
Homepage
Code:
http://www.udemy.com/course/real-world-data-science-machine-learning-project-web-apps/
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Code:
https://k2s.cc/file/5002966883fe2/Data_Science_Masterclass_2021_Build_30_Real_World_Projects.part01.rar
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Canon 90D Crash Course Training
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Canon 90D Crash Course Training
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 75 lectures (7h 19m) | Size: 8.34 GB
Made For Beginners
What you'll learn:
Learn how to operate your Canon 90D
Requirements
You must have a Canon 90D to take the course
Description
Award winning instructor, camera guru & professional wedding photographer Michael Andrew takes us on a step-by-step tour of the Canon 90D in this training tutorial download video. Michael Andrew's unique approach simplifies digital photography and shows students how to use simple techniques to take amazing photographs. Michael blends technical competence with artistic fundamentals in this truly unique training video.
If you own a Canon 90D and are looking to improve your photographic skills or aren't exactly sure how everything works..this is the training for you!
Who this course is for
Anyone who wants to learn how to operate their Canon 90D
Homepage
Code:
https://anonymz.com/?https://www.udemy.com/course/canon-90d-crash-course-training/
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Code:
https://k2s.cc/file/8ab32c16a4d24/Canon_90D_Crash_Course_Training.part01.rar
https://k2s.cc/file/fcc9625121a7e/Canon_90D_Crash_Course_Training.part02.rar
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Code:
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