AOER?: The Art of Effective Rigging 2
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AOER : The Art of Effective Rigging 2
P2design Academy | Duration: 33+ h | Video: H264 1920x1080 | Audio: AAC 44,1 kHz 2ch | 117 GB | Language: English
AOER is the most extensive Blender rigging course released to date. It will take you from the very fundamentals of rigging in Blender to high-end, advanced level character rigging from scratch.
You'll learn to
What is rigging and what is it made for.
Parenting and basic constraints.
Bones manipulation & Vertex groups.
Using and managing an armature.
Naming conventions.
Create a Bouncing ball rig.
Squash and stretch mechanism.
Add a Spinning mechanism.
Create controller's custom shapes.
Create a little spider robot that can fold into a sphere.
Combine different mechanism.
Create inverse Kinematics legs and arms.
"Look at" function for the head orientation.
Introduction to scripting and custom Rig UI.
Create your first biped character rig.
Inverse and forward kinematics switch.
Simple spine rig.
Skinning and weights painting basics.
Full IK leg rig with foot roll.
Full custom Rig UI using scripting templates
IK/FK snapping tools.
Create an advanced biped character
Advanced spine rig.
Pistons and secondary armor rig.
Skinning and weights painting techniques.
Full IK/FK switchable arms and legs.
Code:
https://anonymz.com/?https://www.p2design-academy.com/p/the-art-of-effective-rigging-2
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Complete Machine Learning,NLP Bootcamp MLOPS & Deployment
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Complete Machine Learning,NLP Bootcamp MLOPS & Deployment
Published 6/2024
Created by Krish Naik
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 218 Lectures ( 47h 25m ) | Size: 50.2 GB
Master the theory, practice, and math behind ML,NLP. Build real-world projects with MLOPS, git, Dockers with deployment
What you'll learn:
Master foundational and advanced Machine Learning and NLP concepts.
Apply theoretical and practical knowledge to real-world projects using Machine learning,NLP And MLOPS
Understand and implement mathematical principles behind ML algorithms.
Develop and optimize ML models using industry-standard tools and techniques.
Understand The Core intuition of Deep Learning such as optimizers,loss functions,neural networks and cnn
Requirements:
Basic understanding of high school mathematics (algebra and statistics).
Familiarity with programming concepts (Python preferred).
Willingness to learn and apply theoretical and practical knowledge.
Access to a computer with internet connectivity for hands-on practice.
Description:
Are you looking to master Machine Learning (ML) and Natural Language Processing (NLP) from the ground up? This comprehensive course is designed to take you on a journey from understanding the basics to mastering advanced concepts, all while providing practical insights and hands-on experience.What You'll Learn:Foundational Concepts: Start with the basics of ML and NLP, including algorithms, models, and techniques used in these fields. Understand the core principles that drive machine learning and natural language processing.Advanced Topics: Dive deeper into advanced topics such as deep learning, reinforcement learning, and transformer models. Learn how to apply these concepts to build more complex and powerful models.Practical Applications: Gain practical experience by working on real-world projects and case studies. Apply your knowledge to solve problems in various domains, including healthcare, finance, and e-commerce.Mathematical Foundations: Develop a strong mathematical foundation by learning the math behind ML and NLP algorithms. Understand concepts such as linear algebra, calculus, and probability theory.Industry-standard Tools: Familiarize yourself with industry-standard tools and libraries used in ML and NLP, including TensorFlow, PyTorch, and scikit-learn. Learn how to use these tools to build and deploy models.Optimization Techniques: Learn how to optimize ML and NLP models for better performance and efficiency. Understand techniques such as hyperparameter tuning, model selection, and model evaluation.Who Is This Course For:This course is suitable for anyone interested in learning machine learning and natural language processing, from beginners to advanced learners. Whether you're a student, a professional looking to upskill, or someone looking to switch careers, this course will provide you with the knowledge and skills you need to succeed in the field of ML and NLP.Why Take This Course:By the end of this course, you'll have a comprehensive understanding of machine learning and natural language processing, from the basics to advanced concepts. You'll be able to apply your knowledge to build real-world projects, and you'll have the skills needed to pursue a career in ML and NLP.Join us on this journey to master Machine Learning and Natural Language Processing. Enroll now and start building your future in AI.
Who this course is for:
Aspiring data scientists and machine learning enthusiasts.
Students and professionals looking to enhance their ML and NLP skills.
Beginners with a basic understanding of programming and mathematics.
Anyone interested in understanding and applying machine learning and NLP techniques from scratch to advanced levels.
Beginners Python Developer who wants to get into the Data Science field
Code:
https://anonymz.com/?https://www.udemy.com/course/complete-machine-learning-nlp-bootcamp-mlops-deployment/
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Data Science, AI, Machine Learning with Python
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Data Science, AI, Machine Learning with Python
Last updated 7/2024
Created by Uplatz Training
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 55 Lectures ( 49h 54m ) | Size: 25.8 GB
Complete Python Course: Data Science, Artificial Intelligence, and Machine Learning from basics to advanced
What you'll learn:
Learn the basics of Data Science, Artificial Intelligence, and Machine Learning
Understand and implement the Python Environment Setup
Get introduced to Python Programming for AI, DS and ML
Learn Data Importing
Understand Exploratory Data Analysis & Descriptive Statistics
Master Probability Theory & Inferential Statistics
Learn how to do Data Visualization using Python
Take a deep-dive into implementation of Data Cleaning, Data Manipulation & Pre-processing using Python programming
Understand Predictive Modeling & Machine Learning
Requirements:
Enthusiasm and determination to make your mark on the world!
Description:
A warm welcome to the Data Science, Artificial Intelligence, and Machine Learning with Python course by Uplatz.Data ScienceData Science is an interdisciplinary field focused on extracting knowledge and insights from structured and unstructured data. It involves various techniques from statistics, computer science, and information theory to analyze and interpret complex data.Key Components:Data Collection: Gathering data from various sources.Data Cleaning: Preparing data for analysis by handling missing values, outliers, etc.Data Exploration: Analyzing data to understand its structure and characteristics.Data Analysis: Applying statistical and machine learning techniques to extract insights.Data Visualization: Presenting data in a visual context to make the analysis results understandable.Python in Data SciencePython is widely used in Data Science because of its simplicity and the availability of powerful libraries:Pandas: For data manipulation and analysis.NumPy: For numerical computations.Matplotlib and Seaborn: For data visualization.SciPy: For advanced statistical operations.Jupyter Notebooks: For interactive data analysis and sharing code and results.Artificial Intelligence (AI)Artificial Intelligence is the broader concept of machines being able to carry out tasks in a way that we would consider smart. It includes anything from a computer program playing a game of chess to voice recognition systems like Siri and Alexa.Key Components:Expert Systems: Computer programs that emulate the decision-making ability of a human expert.Natural Language Processing (NLP): Understanding and generating human language.Robotics: Designing and programming robots to perform tasks.Computer Vision: Interpreting and understanding visual information from the world.Python in AIPython is preferred in AI for its ease of use and the extensive support it provides through various libraries:TensorFlow and PyTorch: For deep learning and neural networks.OpenCV: For computer vision tasks.NLTK and spaCy: For natural language processing.Scikit-learn: For general machine learning tasks.Keras: For simplifying the creation of neural networks.Machine Learning (ML)Machine Learning is a subset of AI that involves the development of algorithms that allow computers to learn from and make predictions or decisions based on data. It can be divided into supervised learning, unsupervised learning, and reinforcement learning.Key Components:Supervised Learning: Algorithms are trained on labeled data.Unsupervised Learning: Algorithms find patterns in unlabeled data.Reinforcement Learning: Algorithms learn by interacting with an environment to maximize some notion of cumulative reward.Python in Machine LearningPython is highly utilized in ML due to its powerful libraries and community support:Scikit-learn: For implementing basic machine learning algorithms.TensorFlow and PyTorch: For building and training complex neural networks.Keras: For simplifying neural network creation.XGBoost: For gradient boosting framework.LightGBM: For gradient boosting framework optimized for speed and performance.Python serves as a unifying language across these domains due to:Ease of Learning and Use: Python's syntax is clear and readable, making it accessible for beginners and efficient for experienced developers.Extensive Libraries and Frameworks: Python has a rich ecosystem of libraries that simplify various tasks in data science, AI, and ML.Community and Support: A large and active community contributes to a wealth of resources, tutorials, and forums for problem-solving.Integration Capabilities: Python can easily integrate with other languages and technologies, making it versatile for various applications.Artificial Intelligence, Data Science, and Machine Learning with Python - Course Curriculum1. Overview of Artificial Intelligence, and Python Environment SetupEssential concepts of Artificial Intelligence, data science, Python with Anaconda environment setup2. Introduction to Python Programming for AI, DS and MLBasic concepts of python programming3. Data ImportingEffective ways of handling various file types and importing techniques4. Exploratory Data Analysis & Descriptive StatisticsUnderstanding patterns, summarizing data5. Probability Theory & Inferential StatisticsCore concepts of mastering statistical thinking and probability theory6. Data VisualizationPresentation of data using charts, graphs, and interactive visualizations7. Data Cleaning, Data Manipulation & Pre-processingGarbage in - Garbage out (Wrangling/Munging): Making the data ready to use in statistical models8. Predictive Modeling & Machine LearningSet of algorithms that use data to learn, generalize, and predict1. Overview of Data Science and Python Environment SetupOverview of Data ScienceIntroduction to Data ScienceComponents of Data ScienceVerticals influenced by Data ScienceData Science Use cases and Business ApplicationsLifecycle of Data Science ProjectPython Environment SetupIntroduction to Anaconda DistributionInstallation of Anaconda for PythonAnaconda Navigator and Jupyter NotebookMarkdown Introduction and ScriptingSpyder IDE Introduction and Features2. Introduction to Python ProgrammingVariables, Identifiers, and OperatorsVariable TypesStatements, Assignments, and ExpressionsArithmetic Operators and PrecedenceRelational OperatorsLogical OperatorsMembership OperatorsIterables / ContainersStringsListsTuplesSetsDictionariesCondit ionals and Loopsif elseWhile LoopFor LoopContinue, Break and PassNested LoopsList comprehensionsFunctionsBuilt-in FunctionsUser-defined functionNamespaces and ScopeRecursive FunctionsNested functionDefault and flexible argumentsLambda functionAnonymous function3. Data ImportingFlat-files dataExcel dataDatabases (MySQL, SQLite...etc)Statistical software data (SAS, SPSS, Stata...etc)web-based data (HTML, XML, JSON...etc)Cloud hosted data (Google Sheets)social media networks (Facebook Twitter Google sheets APIs)4. Data Cleaning, Data Manipulation & Pre-processingHandling errors, missing values, and outliersIrrelevant and inconsistent dataReshape data (adding, filtering, and merging)Rename columns and data type conversionFeature selection and feature scalinguseful Python packagesNumpyPandasScipy5. Exploratory Data Analysis & Descriptive StatisticsTypes of Variables & Scales of MeasurementQualitative/CategoricalNominalOrdinalQuantitative/NumericalDiscreteContinuousIntervalRatioMeasures of Central TendencyMean, median, mode,Measures of Variability & ShapeStandard deviation, variance, and Range, IQRSkewness & KurtosisUnivariate data analysisBivariate data analysisMultivariate Data analysis6. Probability Theory & Inferential StatisticsProbability & Probability DistributionsIntroduction to probabilityRelative Frequency and Cumulative FrequencyFrequencies of cross-tabulation or Contingency TablesProbabilities of 2 or more EventsConditional ProbabilityIndependent and Dependent EventsMutually Exclusive EventsBayes Theorembinomial distributionuniform distributionchi-squared distributionF distributionPoisson distributionStudent's t distributionnormal distributionSampling, Parameter Estimation & Statistical TestsSampling DistributionCentral Limit TheoremConfidence IntervalHypothesis Testingz-test, t-test, chi-squared test, ANOVAZ scores & P-ValuesCorrelation & Covariance7. Data VisualizationPlotting Charts and GraphicsScatterplotsBar Plots / Stacked bar chartPie ChartsBox PlotsHistogramsLine Graphsggplot2, lattice packagesMatplotlib & Seaborn packagesInteractive Data VisualizationPlot ly8. Statistical Modeling & Machine LearningRegressionSimple Linear RegressionMultiple Linear RegressionPolynomial regressionClassificationLogistic RegressionK-Nearest Neighbors (KNN)Support Vector MachinesDecision Trees, Random ForestNaive Bayes ClassifierClusteringK-Means ClusteringHierarchical clusteringDBSCAN clusteringAssociation Rule MiningAprioriMarket Basket AnalysisDimensionality ReductionPrincipal Component Analysis (PCA)Linear Discriminant Analysis (LDA)Ensemble MethodsBaggingBoosting9. End to End Capstone Project
Who this course is for:
Data Scientists and Machine Learning Engineers
Beginners & newbies aspiring for a career in Data Science and Machine Learning
Anyone Interested in Data Science and AI
Software Developers and Engineers
Data Analysts and Business Analysts
Researchers and Academics
IT and Data Professionals
Managers and Executives
Entrepreneurs and Startups
Code:
https://anonymz.com/?https://www.udemy.com/course/data-science-artificial-intelligence-machine-learning-with-python/
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Oracle Cards Reading For Psychic Development Course
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Oracle Cards Reading For Psychic Development Course
Published 7/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 50.79 GB | Duration: 19h 27m
Learn oracle cards reading and develop your natural psychic abilities in powerful, fun and easy lessons
What you'll learn
Oracle cards reading
Psychic development
Starting your own oracle cards reading business
Journaling
Personal development
Requirements
No prior experience required
Description
This course is ideal for those who wish to learn oracle cards reading, whilst simultaneously developing their natural psychic abilities in a powerful way.Imagine learning and refining your skills in lighthearted daily lessons, that offer you tons of valuable guidance for highly rewarding personal growth.Abundance manifestation coaching forms a natural part of this course. Yet again, lessons are presented in a way that s soul caressing and empowering.Journaling throughout this coaching is highly recommended. However, even this approach is gentle, easy and kind on the mind.It is recommend you commence this course on a Monday. Lessons have been created to be worked through Mondays to Fridays - weekends off!!! For clearer understanding on this course s flow, watch the first few free lessons to make a clear decision if joining this coaching, in my coaching style sits comfortably with you.Knowledge I share with you, stems from my personal experience in:Oracle cards reading Tarot readingPsychic development Abundance manifestation Hypnotherapy NLPReiki mastersCrystal healingVision boardsAffirmationsAstrologyNumerologyInner peace development It would be my absolute pleasure to be your personal oracle cards reading and psychic development mentor, my beautiful cosmic sibling of unlimited eternal potential.Forever loveAdrian NelsonLife transformation coach
Overview
Section 1: WEEK ONE
Lecture 1 Hello And Welcome
Lecture 2 Day 1: Becoming Present
Lecture 3 Day 2: Intention
Lecture 4 Day 3: Pay Attention
Lecture 5 Day 4: Cleansing Your Deck
Lecture 6 Day 5: Drawing Cards
Section 2: WEEK TWO
Lecture 7 Day 6.1: Daily Lessons Flow
Lecture 8 Day 6.2: When the Storm Spirits Play
Lecture 9 Day 7: Let the Fire Dragons Sleep
Lecture 10 Day 8: When Coyote Calls Your Name
Lecture 11 Day 9: If the River Flows This Way
Lecture 12 Day 10: Let Your Dreams Be Woven True
Section 3: WEEK THREE
Lecture 13 Day 11: When You Feel the Magic Sing
Lecture 14 Day 12: If You Hear a Sasquatch Sigh
Lecture 15 Day 13: Could It Be a Dragonfly
Lecture 16 Day 14: When a Witch Must Drink Their Brew
Lecture 17 Day 15: All the Diamonds in the Sky
Section 4: WEEK FOUR
Lecture 18 Day 16: If the Fox Can t Find His Tail
Lecture 19 Day 17: If the Wild Ones Come with Sticks
Lecture 20 Day 18: Co-creating with Spirit
Lecture 21 Day 19: All the Willows Know Your Name
Lecture 22 Day 20: All the Magic Everywhere
Section 5: WEEK FIVE
Lecture 23 Day 21: In the Middle of the Bridge
Lecture 24 Day 22: Underneath the Lizard s Skin
Lecture 25 Day 23: Even Wisdom Needs to Rest
Lecture 26 Day 24: What the Sunbeams Have to Show
Lecture 27 Day 25: Only Weavers Know the Time
Section 6: WEEK SIX
Lecture 28 Day 26: What the Winter Spirits Know
Lecture 29 Day 27: Lemons to Lemonade
Lecture 30 Day 28: All the Shoes Fell from the Sky
Lecture 31 Day 29: Surfing Rainbows on the Moon
Lecture 32 Day 30: Painting Joy Across the Sky
Section 7: WEEK SEVEN
Lecture 33 Day 31: Weavers Share Their Magic Tea
Lecture 34 Day 32: Time to Feed the Hungry Heart
Lecture 35 Day 33: For the Wind That Blows Our Sails
Lecture 36 Day 34: When the Grit Became a Pearl
Lecture 37 Day 35: A Firebird Is Called to Soar
Section 8: WEEK EIGHT
Lecture 38 Day 36: All Is Calm upon These Shores
Lecture 39 Day 37: Beyond Your Fears the Weavers Dance
Lecture 40 Day 38: When the Birds Sing Grat-it-tude
Lecture 41 Day 39: When It s Time to Say Good-Bye
Lecture 42 Day 40: Peaceful Release
Section 9: WEEK NINE
Lecture 43 Day 41: If the Dogs Come Circling Round
Lecture 44 Day 42: When the Weavers Call Your Heart
Lecture 45 Day 43: All the Threads of Fate Must Bend
Lecture 46 Day 44: If a Cat Curls Round the Moon
Lecture 47 Day 45: Time to Dance Around the Sun
Section 10: WEEK TEN
Lecture 48 Day 46: If the Taste Is Sweet and Good
Lecture 49 Day 47: As the Weavers Way Is True
Lecture 50 Day 48: When the Weavers Built the Sun
Lecture 51 Day 49: Weavers Watch the Dragons Fly
Lecture 52 Day 50: Red Car Theory
Section 11: WEEK ELEVEN
Lecture 53 Day 51: When You re Neither Here nor There
Lecture 54 Day 52: When the Ones You Need Fly Close
Lecture 55 Day 53: Weavers Know That All Is God
Lecture 56 Day 54: Giving A Reading
Lecture 57 Day 55: Integration Guided Meditation
Section 12: ADDITIONAL COACHING
Lecture 58 Clairs
Lecture 59 Summary
Lecture 60 Marketing & Advertising
Lecture 61 Thank You
Lecture 62 Get Your Certificate
Oracle cards reading and psychic development
Homepage
Code:
https://anonymz.com/?https://www.udemy.com/course/oracle-cards-reading-for-psychic-development-course/
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Code:
https://nitroflare.com/view/2383F9F8BB21853/Oracle_Cards_Reading_For_Psychic_Development_Course.part01.rar
https://nitroflare.com/view/345FEAE83FA8C9B/Oracle_Cards_Reading_For_Psychic_Development_Course.part02.rar
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Code:
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Microwave/RF Engineering: Microwave/RF Design & Applications
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Microwave/RF Engineering: Microwave/RF Design & Applications
Published 7/2024
Created by Hitesh Dholakiya
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 96 Lectures ( 18h 59m ) | Size: 20.5 GB
A complete guide to Microwave Basics, Transmission Lines, Smith Chart, Scattering Parameters, Waveguides, Diodes
What you'll learn:
Introduction to Microwave Fundamentals
Transmission Lines
Smith Chart
Scattering Parameters
Waveguides
Microwave Devices
Microwave Sources
Microwave Diodes
Requirements:
No Prior knowledge is needed
Description:
A Microwave/RF Engineering course delves into the principles and applications of microwave frequencies, typically ranging from 1 GHz to 300 GHz. Students explore the design, analysis, and case studies of microwave circuits and systems.The Microwave/RF Engineering course caters specifically to Engineers, Professionals, Researchers, and Enthusiasts keen on delving into Microwave/RF Systems. It stands out as a distinctive offering within the online learning landscape.Designed as an advanced program, this Microwave/RF Engineering course aims to give students an in-depth grasp of Microwave/RF systems, encompassing their principles, applications, and design intricacies. Microwave systems serve as pivotal components across diverse sectors such as aviation, defense, meteorology, and remote sensing, underscoring their significance. This course equips participants with a robust knowledge base by delving into theoretical underpinnings and contemporary advancements in Microwave Engineering.This playlist includes videos related to Microwave Engineering and covers all Microwave/RF Engineering fundamentals.Here Prof. Hitesh Dholakiya has covered all the topics of Microwave/RF with the following outlines:1. Introduction to Microwave Engineering:Microwave Frequency Bands, Microwave Applications, Advantages of Microwave Signals.2. Transmission Line:Basics of Transmission Line, Types of Transmission Line {Two Parallel Wire Transmission Line, Coaxial Transmission Line and Microstrip Transmission Line}, Transmission Line Equivalent Circuit, Transmission Line Equations, Parameters of Transmission Line {Propagation Constant, Attenuation Constant, Phase Constant, Characteristics Impedance, Reflection Coefficient, Transmittance Coefficient, VSWR, Standing Patter, Input Impedance}, Generation of Phase Delay in Transmission Line, Examples on Transmission Line, Transmission Line Parameters, Impedance matching of Transmission Line, Losses in Transmission Line.3. Smith Chart:Basics of Smith Chart, Mathematics of Smith Chart, Examples on Smith Chart, Parameters of Smith chart like VSWR, Reflection Coefficient, Load Impedance, Input Impedance, Line Impedance, Vmax and Vmin location, Admittance, Parallel stub Impedance matching, Series stub Impedance matching.4. Scattering Parameters:Basics of Scattering parameters, Properties of Scattering parameters, Scattering parameters for two port network, Scattering parameters for four-port network, Examples of Scattering parameters.5. Waveguide in Microwave:Basics of Waveguide, Parameters of Waveguide, Comparison of Waveguide and Transmission line, Why TEM Mode is not possible in rectangular Waveguide, Parallel plate waveguide, Rectangular Waveguide, Group velocity and phase velocity in rectangular Waveguide, Modes in Rectangular Waveguide, Degenerated Modes in Rectangular Waveguide, Dominant Modes if Waveguide, Cut off frequency in rectangular Waveguide, Circular Waveguide, Comparison of Rectangular Waveguide and Circular Waveguide, Examples of circular Waveguide, Comparison of circular waveguide and rectangular waveguide, Examples on waveguide.6. Microwave Devices:Waveguide Discontinuities, Coupling Mechanisms in Waveguides, Waveguide Attenuators, Waveguide Phase Shifters, Isolator in Microwave, Waveguide Gyrators, Circulator in Microwave, Examples on Circulators in Microwave, Directional Coupler in Microwave, Examples of directional couplers in Microwave, Two holes directional coupler in Microwave, E plane Tee, H plane Tee, Magic Tee, Hybrid Ring or Rat Race coupler.7. Microwave sources:Reflex Klystron, Two cavity Klystron amplifier, Comparison of Reflex klystron and two cavity klystron, Magnetron Oscillator, Travelling wave tube, Parametric Amplifier, MASER - Microwave Amplification Stimulated Emission Radiation, Cavity Resonator, Limitations of conventional tubes over microwave tubes.8. Microwave Diodes:Schottky Diode, Gunn Diode, Varactor Diode, TRAPATT Diode, Tunnel Diode, IMPATT Diode, BARITT Diode, PIN Diode.9. Microwave Measurement:EMI, EMC, Power Measurement {Bolometer}, Attenuation Measurement {Power Ratio Method}, Phase Shift Measurement, VSWR Measurement, Impedance Measurement, Quality Factor Measurement.I'll see you in the course! You're going to love it!Thank You
Who this course is for:
Students (Engineering, Diploma, Science)
Engineering students specializing in electrical, electronic, or communication engineering
Professionals working in industries such as defense, aerospace, and telecommunications
Researchers and scientists interested in advancing their knowledge of Microwave Systems
Individuals seeking to transition into Microwave/RF or related fields
Anyone with a keen interest in understanding the principles and applications of Microwave
Homepage
Code:
https://anonymz.com/?https://www.udemy.com/course/microwaverf-engineering-microwave-design-and-applications/
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Code:
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Code:
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CASP+ (CAS-004) Complete Course & Full-Length Practice Exam
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CASP+ (CAS-004) Complete Course & Full-Length Practice Exam
Last updated 6/2024
Duration: 31h28m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 28.4 GB
Genre: eLearning | Language: English
Pass the CompTIA Advanced Security Practitioner (CAS-004) exam on your 1st attempt, includes full-length practice exam!
What you'll learn
Take and pass the CompTIA Advanced Security Practitioner+ (CASP+) (CAS-004) certification exam
Understand security architecture and operations concepts, techniques, and requirements
Explain risk analysis by interpreting trending data and indicators of compromise
Select appropriate cyber security controls in response to a given threat or scenario
Requirements
You should have a solid understanding of networks and network security
Reviewed the concepts from the CompTIA Network+, Security+, CySA+, CompTIA PenTest+ objectives
Description
*** Taught by a Best Selling IT Certification
Homepage
Code:
https://www.udemy.com/course/casp-plus
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Code:
https://nitroflare.com/view/EC0157EECF47E41/casp-plus.part1.rar
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Master Urban Environments in Blender
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Master Urban Environments in Blender
Cov Phillips | Duration: 29 h | Video: H264 1920x1080 | Audio: AAC 48 kHz 2ch | 144 GB | Language: English
Your all-in-one course to create epic city environments in Blender.
Have you ever tried to build an entire urban environment in 3D?
Creating buildings, adding props and filling the city streets with life? That can be an incredibly overwhelming task, but such a cool project! But it s hard to find an all-in-one resource that teaches you to create exactly that, step by step.
That is why we created Master Urban Environments in Blender.
This course aims to cover everything that you can think of, to help you create all the city environments you can imagine. By the end of the course, you will have built your own urban scene in Blender, full of details that convey a unique mood.
This course is taught in a way that beginners can jump right in, and experienced artists will still gain vital and exciting new creative skills.
Homepage
Code:
https://anonymz.com/?https://www.cgboost.com/courses/master-urban-environments-in-blender
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Code:
https://nitroflare.com/view/E23507FB4482BAD/CGBoost_-_Master_Urban_Environments_in_Blender.part01.rar
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Code:
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Laravel 10 - Restaurant and Food Ordering Ecommerce (2024)
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Laravel 10 - Restaurant and Food Ordering Ecommerce (2024)
Last updated 9/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 117h 3m | Size: 59.9 GB
Building a Robust Restaurant and Food Ordering Platform Using Laravel 10, with Comprehensive Step-by-step Instructions
What you'll learn
Building a Restaurant and Food Ordering Ecommerce from Scratch
Laravel Fundamentals
Dynamic Drag and Drop Menu Builder
Live Chat Feature
Live Order Notification Feature
Advance Product Management System
Advanced Product Coupon
Handling Delivery Areas
Product Discount Feature
Product Wishlist Feature
Advanced Product Variants Feature
Order Management Feature
Advanced add-to-cart Feature
Custom Page Builder
Order Management Feature
Multiple Payment Gateways (PayPal, Stripe, Razorpay)
Image Upload System
Dynamic Mail Configuration
Dashboard Analytics
Blog Management System
Admin-User Password Change Option
Product Review & Rating
Dynamic News Letters
Dynamic Site settings module
Database Clearing module
Lecture By Lecture Git Source Code
Requirements
You have to know basic PHP
Basic HTML, CSS, Bootstrap, jQuery
Local Server : XAMPP/WAMP/MAMP/Laragon
Text Editor/IDE: Notepad++ / Sublime Text / Visual Studio Code / PhpStrom
Description
Welcome to "Laravel 10 - Restaurant and Food Ordering Ecommerce (2023)"! Are you ready to embark on an exciting journey into the world of Laravel and create a cutting-edge restaurant and food ordering ecommerce platform? This course is your ticket to mastering Laravel 10 and building a dynamic, real-world project that will set you apart as a professional developer in the competitive job market.Why Choose to Learn Laravel 10?Laravel 10, the latest iteration of the renowned PHP framework, is a game-changer for web development. Its robust feature set, enhanced performance, and vibrant community make it the ultimate choice for crafting scalable and high-performing web applications. Whether you're a seasoned developer or just starting out, Laravel 10 is your gateway to web development excellence.What Will You Achieve in This Course?In Laravel 10 - Restaurant and Food Ordering Ecommerce (2023), you'll acquire the skills and knowledge needed to build a feature-rich restaurant and food ordering platform. Our comprehensive curriculum covers a wide range of advanced functionalities, including:Building a Restaurant and Food Ordering Ecommerce Platform from ScratchMastering Laravel FundamentalsCreating a Dynamic Drag and Drop Menu BuilderBuilding a Live Chat FeatureBuilding Live Order NotificationsDeveloping an Advanced Product Management SystemBuilding an Advanced Product Coupon SystemManaging Delivery AreasImplementing Product Discount FeaturesEnabling Product Wishlist FunctionalityIncorporating Advanced Product VariantsStreamlining Order ManagementBuilding Add-to-Cart FeatureCreating a Custom Page BuilderIntegrating Multiple Payment Gateways (PayPal, Stripe, RazorPay)Implementing an Image Upload SystemBuilding Dynamic Email SettingsDynamic Dashboard AnalyticsSetting Up a Blog Management SystemAdmin-User Password Change OptionImplementing Product Review & Rating FeaturesManaging Dynamic NewslettersBuilding Dynamic Site Settings ModuleBuilding Database Clearing ModuleWhy Should You Select This Course?Uniquely different from other courses that merely scratch the surface, this course immerses you in the entire development process of a real-world project. Beyond coding, you'll gain invaluable insights into project management and industry best practices. Plus, you'll have lifetime access to both the course materials and the complete source code of the project.Upon completion, you'll possess a highly marketable skill set, positioning you to earn a lucrative income as a professional Laravel developer.Enroll today and take the first step toward a successful career in web development!
Who this course is for
Aspiring developers looking to excel in Laravel.
Web developers eager to elevate their Laravel/PHP expertise.
Students seeking hands-on experience in building a comprehensive ecommerce project with Laravel.
University students tackling project assignments with Laravel.
Working professionals aiming to enhance their portfolios and career prospects with Laravel expertise.
Homepage
Code:
https://www.udemy.com/course/build-complete-laravel-restaurant-and-food-ordering-ecommerce-system/
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Code:
https://rapidgator.net/file/909418880562280ac7fd059c834ca1e8/Laravel_10_-_Restaurant_and_Food_Ordering_Ecommerce_2024.part01.rar
https://rapidgator.net/file/b011634fcf9947b7f2c3a60df6150a17/Laravel_10_-_Restaurant_and_Food_Ordering_Ecommerce_2024.part02.rar
https://rapidgator.net/file/aa9ee5b32303481352d7c3540db7d8af/Laravel_10_-_Restaurant_and_Food_Ordering_Ecommerce_2024.part03.rar
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https://rapidgator.net/file/1293077461cc6c20d983c795134dd5bf/Laravel_10_-_Restaurant_and_Food_Ordering_Ecommerce_2024.part12.rar
Premium Links
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https://nitroflare.com/view/8AD6F2EDFF7D829/Laravel_10_-_Restaurant_and_Food_Ordering_Ecommerce_2024.part01.rar
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https://k2s.cc/file/7531ef96e8cba/Laravel_10_-_Restaurant_and_Food_Ordering_Ecommerce_2024.part01.rar
https://k2s.cc/file/cedafb3d1192e/Laravel_10_-_Restaurant_and_Food_Ordering_Ecommerce_2024.part02.rar
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https://uploadgig.com/file/download/04B421053a8cB1ed/Laravel_10_-_Restaurant_and_Food_Ordering_Ecommerce_2024.part01.rar
https://uploadgig.com/file/download/cefe1F0dd2Ceae4A/Laravel_10_-_Restaurant_and_Food_Ordering_Ecommerce_2024.part02.rar
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Complete Generative AI Course With Langchain and Huggingface
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Complete Generative AI Course With Langchain and Huggingface
Published 7/2024
Created by Krish Naik
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 136 Lectures ( 35h 27m ) | Size: 24 GB
Complete Guide to Building, Deploying, and Optimizing Generative AI with Langchain and Huggingface
What you'll learn:
Learn to create advanced generative AI applications leveraging the Langchain framework and Huggingface's state-of-the-art models.
Understand the architecture and design patterns for building robust generative AI systems.
Gain hands-on experience in deploying generative AI models to various environments, including cloud platforms and on-premise servers.
Explore different deployment strategies, ensuring scalability and reliability of AI applications.
Develop Retrieval-Augmented Generation (RAG) pipelines to enhance the performance and accuracy of generative models by integrating retrieval mechanisms.
Learn to seamlessly incorporate Huggingface's pre-trained models into Langchain applications, leveraging their powerful NLP capabilities.
Customize and fine-tune Huggingface models to fit specific application requirements and use cases.
Work on real-world projects that illustrate the application of generative AI in various domains, such as chatbots, content generation, and data augmentation.
Requirements:
Familiarity with Python programming language, including basic syntax, data structures, and functions.
Basic understanding of machine learning concepts, including supervised and unsupervised learning, and fundamental AI principles.
Basic knowledge of deep learning concepts and frameworks (e.g., TensorFlow or PyTorch) is advantageous but not strictly required.
Understanding of APIs and how to interact with them, as the course will involve integrating various APIs for model deployment and usage.
Ability to navigate and execute commands in a command line interface (CLI) or terminal.
Description:
Unlock the full potential of Generative AI with our comprehensive course, "Complete Generative AI Course with Langchain and Huggingface." This course is designed to take you from the basics to advanced concepts, providing hands-on experience in building, deploying, and optimizing AI models using Langchain and Huggingface. Perfect for AI enthusiasts, developers, and professionals, this course offers a practical approach to mastering Generative AI.What You Will Learn:Introduction to Generative AI:Understand the fundamentals of Generative AI and its applications.Explore the differences between traditional AI models and generative models.Getting Started with Langchain:Learn the basics of Langchain and its role in AI development.Set up your development environment and tools.Huggingface Integration:Integrate Huggingface's state-of-the-art models into your Langchain projects.Customize and fine-tune Huggingface models for specific applications.Building Generative AI Applications:Step-by-step tutorials on creating advanced generative AI applications.Real-world projects such as chatbots, content generators, and data augmentation tools.Deployment Strategies:Learn various deployment strategies for AI models.Deploy your models to cloud platforms and on-premise servers for scalability and reliability.RAG Pipelines:Develop Retrieval-Augmented Generation (RAG) pipelines to enhance AI performance.Combine generative models with retrieval systems for improved information access.Optimizing AI Models:Techniques for monitoring and optimizing deployed AI models.Best practices for maintaining and updating AI systems.End-to-End Projects:Hands-on projects that provide real-world experience.Build, deploy, and optimize AI applications from scratch.Who Should Take This Course:AI and Machine Learning EnthusiastsData Scientists and Machine Learning EngineersSoftware Developers and EngineersNLP PractitionersStudents and AcademicsTechnical Entrepreneurs and InnovatorsAI HobbyistsBy the end of this course, you will have the knowledge and skills to build, deploy, and optimize generative AI applications, leveraging the power of Langchain and Huggingface. Join us on this exciting journey and become a master in Generative AI!
Who this course is for:
Individuals passionate about AI and ML who want to expand their knowledge and skills in generative AI applications.
Professionals looking to enhance their expertise in building and deploying generative AI models, particularly using Langchain and Huggingface.
Developers interested in integrating advanced AI capabilities into their applications and learning about the deployment and optimization of AI models.
Code:
https://anonymz.com/?https://www.udemy.com/course/complete-generative-ai-course-with-langchain-and-huggingface/
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Download from RapidGator
Code:
https://rapidgator.net/file/f384ba5bd0c4c5028b579d72cc4baad0/Complete_Generative_AI_Course_With_Langchain_and_Huggingface.part1.rar
https://rapidgator.net/file/9c4c21d2d719fb84b89fd3db2db850f0/Complete_Generative_AI_Course_With_Langchain_and_Huggingface.part2.rar
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Premium Links
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https://nitroflare.com/view/764B63EFA07D70F/Complete_Generative_AI_Course_With_Langchain_and_Huggingface.part1.rar
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https://k2s.cc/file/854ea3d0058ff/Complete_Generative_AI_Course_With_Langchain_and_Huggingface.part1.rar
https://k2s.cc/file/73dd317dee6f2/Complete_Generative_AI_Course_With_Langchain_and_Huggingface.part2.rar
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500 plus Core Java Interview Questions & Answers (Dev & QA)
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500 plus Core Java Interview Questions & Answers (Dev & QA)
Published 7/2024
Created by Arun Motoori
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 500 Lectures ( 65h 10m ) | Size: 25.6 GB
Detailed and easy explanation of Core Java Interview Question asked in Top Companies along with practical demonstration
What you'll learn:
Core Java Interview Questions with detailed answers in video format
Core Java Interview Questions from different categories
Core Java Interview Questions and answers for questions asked in QA Selenium Interviews
Good number of Core Java Interview Questions
Requirements:
Core Java
Description:
Unlock your potential and ace your Java interviews with our comprehensive course, "500+ Core Java Interview Questions & Answers (Dev & QA)." Whether you're a budding developer, a seasoned programmer, or a QA professional, this course is meticulously designed to prepare you for the toughest Java interviews at top-tier companies.What You'll Learn:500+ Interview Questions: Get access to over 500 interview questions and detailed answers that cover a wide array of topics, ensuring you're well-prepared for any question.Practical Demonstrations: Watch practical demonstrations to see how theoretical concepts are applied in real-world scenarios.Tips and Tricks: Learn valuable tips and strategies to confidently tackle interview questions and stand out to potential employers.In-Depth Java Concepts: Understand and master key Java concepts, from basic to advanced, with clear and concise explanations.Course Highlights:Detailed Explanations: Each question is explained in detail, breaking down complex concepts into easy-to-understand parts.Real-World Applications: Examples and case studies to show how Java is used in industry settings.Expert Instructor: Learn from an industry expert with years of experience in Java development and interviewing.Who Should Enroll:Aspiring Java Developers: Those looking to start their career in Java development and need a solid foundation.Experienced Developers: Professionals aiming to refresh their knowledge and prepare for advanced roles.Quality Assurance Engineers: QA professionals who want to deepen their understanding of Java to enhance their testing capabilities.Job Seekers: Anyone preparing for Java interviews from Dev & QA background and looking to build confidence and expertise.By the end of this course, you'll have a robust understanding of core Java concepts, be well-versed in tackling interview questions, and possess the confidence to excel in your Java interviews. Join us and take the next step in your career with "500+ Core Java Interview Questions & Answers (Dev & QA)."Enroll now and start your journey to becoming a Java expert!
Who this course is for:
This course is for the ones who are preparing on Core Java for Software Testing and Development Roles
Code:
https://anonymz.com/?https://www.udemy.com/course/500-plus-core-java-interview-questions-answers-dev-qa/
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Code:
https://rapidgator.net/file/21ff6121deb3110fc919f49cc1eb188e/500_plus_Core_Java_Interview_Questions__Answers_Dev__QA.part1.rar
https://rapidgator.net/file/2bfdf2d19f49c6fbee79c223db0bea9b/500_plus_Core_Java_Interview_Questions__Answers_Dev__QA.part2.rar
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