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| [CourseClub.Me].url |
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| [FreeCourseSite.com].url |
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| [GigaCourse.Com].url |
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| 001 Become An Alumni.html |
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| 001 Bonus Lecture.html |
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| 001 Breaking The Flow_en.vtt |
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| 001 Breaking The Flow.mp4 |
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| 001 Course Outline_en.vtt |
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| 001 Course Outline.mp4 |
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| 001 Data Engineering Introduction_en.vtt |
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| 001 Data Engineering Introduction.mp4 |
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| 001 Endorsements On LinkedIn.html |
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| 001 Milestone Projects!.html |
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| 001 Section Overview_en.vtt |
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| 001 Statistics and Mathematics.html |
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| 001 The 2 Paths_en.vtt |
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| 001 The 2 Paths.mp4 |
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| 001 What Is A Programming Language_en.vtt |
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| 001 What Is Machine Learning_en.vtt |
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| 001 What Is Machine Learning.mp4 |
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| 002 AIMachine LearningData Science_en.vtt |
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| 002 Communicating Your Work_en.vtt |
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| 002 Conditional Logic_en.vtt |
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| 002 Deep Learning and Unstructured Data_en.vtt |
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| 002 Deep Learning and Unstructured Data.mp4 |
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| 002 Downloading Workbooks and Assignments.html |
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| 002 Introducing Our Framework_en.vtt |
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| 002 Introducing Our Framework.mp4 |
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| 002 Introducing Our Tools_en.vtt |
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| 002 Join Our Online Classroom!_en.vtt |
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| 002 Join Our Online Classroom!.mp4 |
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| 002 Matplotlib Introduction_en.vtt |
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| 002 Python + Machine Learning Monthly.html |
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| 002 Scikit-learn Introduction_en.vtt |
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| 002 Thank You_en.vtt |
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| 002 What Is Data_en.vtt |
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| 003 6 Step Machine Learning Framework_en.vtt |
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| 003 conda-cheatsheet.pdf |
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| 003 Downloading the data for the next two projects.html |
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| 003 Endorsements On LinkedIN.html |
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| 003 Exercise Machine Learning Playground_en.vtt |
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| 003 Exercise Machine Learning Playground.mp4 |
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| 003 Exercise Meet Your Classmates and Instructor.html |
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| 003 How To Run Python Code_en.vtt |
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| 003 How To Run Python Code.mp4 |
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| 003 Importing And Using Matplotlib_en.vtt |
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| 003 Pandas Introduction_en.vtt |
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| 003 Quick Note Correction In Next Video.html |
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| 003 Quick Note Upcoming Video.html |
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| 003 Setting Up With Google.html |
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| 003 Thank You Part 2.html |
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| 003 What If I Don't Have Enough Experience_en.vtt |
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| 003 What If I Don't Have Enough Experience.mp4 |
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| 003 What Is A Data Engineer_en.vtt |
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| 003 What is Conda_en.vtt |
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| 004 Anatomy Of A Matplotlib Figure_en.vtt |
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| 004 What Is A Data Engineer 2_en.vtt |
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| 005 Step 1~4 Framework Setup_en.vtt |
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| 005 Ternary Operator_en.vtt |
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| 005 Weekend Project Principle_en.vtt |
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| 005 What Is A Data Engineer 3_en.vtt |
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| 006 Communicating With Outside World_en.vtt |
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| 006 Describing Data with Pandas_en.vtt |
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| 006 Exploring Our Data_en.vtt |
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| 006 Getting Our Tools Ready_en.vtt |
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| 006 Histograms And Subplots_en.vtt |
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| 006 JTS Learn to Learn_en.vtt |
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| 006 Mac Environment Setup 2_en.vtt |
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| 006 NumPy Random Seed_en.vtt |
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| 006 Python 2 vs Python 3_en.vtt |
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| 006 Scikit-learn Cheatsheet_en.vtt |
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| 006 Types of Evaluation_en.vtt |
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| 006 Types of Machine Learning_en.vtt |
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| 006 Uploading Project Data_en.vtt |
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| 006 What Is A Data Engineer 4_en.vtt |
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| 006 What Is A Data Engineer 4.mp4 |
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| 007 Are You Getting It Yet.html |
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| 007 car-sales.csv |
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| 007 Exercise How Does Python Work_en.vtt |
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| 007 Exploring Our Data_en.vtt |
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| 007 Features In Data_en.vtt |
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| 007 heart-disease.csv |
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| 007 JTS Start With Why_en.vtt |
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| 007 Logical Operators_en.vtt |
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| 007 Selecting and Viewing Data with Pandas_en.vtt |
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| 008 Communicating and sharing your work Further reading.html |
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| 008 Feature Engineering_en.vtt |
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| 008 Learning Python_en.vtt |
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| 008 Modelling - Splitting Data_en.vtt |
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| 008 Optional Debugging Warnings In Jupyter_en.vtt |
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| 008 Quick Note Upcoming Video.html |
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| 008 Quick Tip Data Visualizations_en.vtt |
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| 008 Selecting and Viewing Data with Pandas Part 2_en.vtt |
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| 008 Selecting and Viewing Data with Pandas Part 2.mp4 |
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| 008 Setting Up Our Data 2_en.vtt |
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| 008 What Is Machine Learning Round 2_en.vtt |
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| 008 Windows Environment Setup 2_en.vtt |
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| 008 Windows Environment Setup 2.mp4 |
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| 009 car-sales-missing-data.csv |
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| 009 CWD Git + Github_en.vtt |
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| 009 Finding Patterns 2_en.vtt |
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| 009 Getting Your Data Ready Splitting Your Data_en.vtt |
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| 009 Importing TensorFlow 2_en.vtt |
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| 009 Manipulating Data_en.vtt |
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| 009 Modelling - Picking the Model_en.vtt |
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| 009 Optional OLTP Databases_en.vtt |
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| 009 Plotting From Pandas DataFrames_en.vtt |
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| 009 Python Data Types_en.vtt |
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| 009 scikit-learn-data.zip |
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| 009 Turning Data Into Numbers_en.vtt |
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| 010 CWD Git + Github 2_en.vtt |
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| 010 Filling Missing Numerical Values_en.vtt |
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| 010 How To Succeed.html |
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| 010 Modelling - Tuning_en.vtt |
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| 010 Monthly Coding Challenges, Free Resources and Guides.html |
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| 010 Optional Learn SQL.html |
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| 010 pandas-anatomy-of-a-dataframe.png |
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| 010 Quick Note Regular Expressions.html |
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| 010 Sharing your Conda Environment.html |
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| 010 Standard Deviation and Variance_en.vtt |
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| 011 6-step-ml-framework.png |
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| 011 Contributing To Open Source_en.vtt |
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| 011 Filling Missing Categorical Values_en.vtt |
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| 011 Getting Your Data Ready Convert Data To Numbers_en.vtt |
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| 011 Hadoop, HDFS and MapReduce_en.vtt |
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| 011 heart-disease.csv |
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| 011 Plotting From Pandas DataFrames 2_en.vtt |
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| 011 Preparing Our Data For Machine Learning_en.vtt |
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| 011 Reshape and Transpose_en.vtt |
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| 011 Using A GPU_en.vtt |
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| 011 Using A GPU.mp4 |
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| 012 Apache Spark and Apache Flink_en.vtt |
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| 012 Apache Spark and Apache Flink.mp4 |
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| 012 Assignment Pandas Practice.html |
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| 012 Choosing The Right Models_en.vtt |
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| 012 Choosing The Right Models.mp4 |
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| 012 Contributing To Open Source 2_en.vtt |
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| 012 Dot Product vs Element Wise_en.vtt |
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| 012 Exercise Tricky Counter_en.vtt |
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| 012 Fitting A Machine Learning Model_en.vtt |
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| 012 Note Update to next video (OneHotEncoder can handle NaNNone values).html |
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| 012 Optional GPU and Google Colab_en.vtt |
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| 012 Overfitting and Underfitting Definitions.html |
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| 012 Plotting from Pandas DataFrames 3_en.vtt |
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| 013 DEVELOPER FUNDAMENTALS I_en.vtt |
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| 013 Getting Your Data Ready Handling Missing Values With Pandas_en.vtt |
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| 013 How To Download The Course Assignments_en.vtt |
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| 013 How To Download The Course Assignments.mp4 |
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| 013 Jupyter Notebook Walkthrough 3_en.vtt |
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| 013 Kafka and Stream Processing_en.vtt |
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| 013 Plotting from Pandas DataFrames 4_en.vtt |
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| 014 Challenge What's wrong with splitting data after filling it.html |
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| 014 Coding Challenges.html |
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| 014 Comparison Operators_en.vtt |
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| 014 Comparison Operators.mp4 |
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| 014 enumerate()_en.vtt |
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| 014 Extension Feature Scaling.html |
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| 014 Loading Our Data Labels_en.vtt |
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| 014 Loading Our Data Labels.mp4 |
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| 014 Operator Precedence_en.vtt |
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| 014 Operator Precedence.mp4 |
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| 014 Tools We Will Use_en.vtt |
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| 014 TuningImproving Our Model_en.vtt |
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| 015 Custom Evaluation Function_en.vtt |
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| 015 Custom Evaluation Function.mp4 |
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| 015 Exercise Operator Precedence.html |
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| 015 Note Correction in the upcoming video (splitting data).html |
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| 015 Optional Elements of AI.html |
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| 015 Preparing The Images_en.vtt |
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| 016 Getting Your Data Ready Handling Missing Values With Scikit-learn_en.vtt |
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| 016 Getting Your Data Ready Handling Missing Values With Scikit-learn.mp4 |
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| 016 Optional bin() and complex.mp4 |
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| 017 Creating Our Own Validation Set_en.vtt |
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| 017 Customizing Your Plots_en.vtt |
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| 017 Tuning Hyperparameters 3_en.vtt |
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| 017 Variables_en.vtt |
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| 018 Assignment NumPy Practice.html |
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| 018 Expressions vs Statements_en.vtt |
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| 019 DEVELOPER FUNDAMENTALS IV_en.vtt |
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| 019 Quick Note Decision Trees.html |
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| 019 Saving And Sharing Your Plots_en.vtt |
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| 020 Assignment Matplotlib Practice.html |
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| 020 Evaluating Our Model 2_en.vtt |
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| 020 Evaluating Our Model 2.mp4 |
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| 020 Exercise Find Duplicates_en.vtt |
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| 020 Making Predictions_en.vtt |
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| 020 Quick Tip How ML Algorithms Work_en.vtt |
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| 020 Strings_en.vtt |
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| 020 Turning Data Into Batches_en.vtt |
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| 021 Choosing The Right Model For Your Data 3 (Classification)_en.vtt |
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| 021 Choosing The Right Model For Your Data 3 (Classification).mp4 |
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| 021 Evaluating Our Model 3_en.vtt |
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| 021 Feature Importance_en.vtt |
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| 022 Finding The Most Important Features_en.vtt |
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| 022 Fitting A Model To The Data_en.vtt |
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| 022 Parameters and Arguments_en.vtt |
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| 023 Default Parameters and Keyword Arguments_en.vtt |
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| 023 Making Predictions With Our Model_en.vtt |
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| 023 Preparing Our Inputs and Outputs_en.vtt |
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| 024 predict() vs predict_proba().mp4 |
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| 024 return_en.vtt |
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| 025 Building A Deep Learning Model_en.vtt |
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| 025 NEW Making Predictions With Our Model (Regression)_en.vtt |
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| 026 Building A Deep Learning Model 2_en.vtt |
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| 026 Methods vs Functions_en.vtt |
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| 026 NEW Evaluating A Machine Learning Model (Score) Part 1_en.vtt |
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| 027 Building A Deep Learning Model 3_en.vtt |
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| 027 Built-In Functions + Methods_en.vtt |
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| 027 Docstrings_en.vtt |
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| 027 NEW Evaluating A Machine Learning Model (Score) Part 2_en.vtt |
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| 028 Booleans_en.vtt |
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| 028 Building A Deep Learning Model 4_en.vtt |
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| 028 Clean Code_en.vtt |
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| 028 Evaluating A Machine Learning Model 2 (Cross Validation)_en.vtt |
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| 029 args and kwargs_en.vtt |
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| 029 Evaluating A Classification Model 1 (Accuracy)_en.vtt |
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| 029 Evaluating A Classification Model 1 (Accuracy).mp4 |
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| 029 Exercise Type Conversion_en.vtt |
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| 029 Summarizing Our Model_en.vtt |
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| 030 DEVELOPER FUNDAMENTALS II_en.vtt |
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| 030 DEVELOPER FUNDAMENTALS II.mp4 |
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| 030 Evaluating A Classification Model 2 (ROC Curve)_en.vtt |
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| 030 Evaluating A Classification Model 2 (ROC Curve).mp4 |
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| 030 Evaluating Our Model_en.vtt |
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| 030 Exercise Functions_en.vtt |
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| 031 Evaluating A Classification Model 3 (ROC Curve)_en.vtt |
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| 031 Evaluating A Classification Model 3 (ROC Curve).mp4 |
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| 031 Exercise Password Checker_en.vtt |
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| 031 Preventing Overfitting_en.vtt |
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| 031 Preventing Overfitting.mp4 |
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| 031 Scope_en.vtt |
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| 032 Lists_en.vtt |
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| 032 Reading Extension ROC Curve + AUC.html |
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| 032 Scope Rules_en.vtt |
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| 032 Scope Rules.mp4 |
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| 032 Training Your Deep Neural Network_en.vtt |
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| 032 Training Your Deep Neural Network.mp4 |
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| 033 Evaluating A Classification Model 4 (Confusion Matrix)_en.vtt |
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| 033 Evaluating A Classification Model 4 (Confusion Matrix).mp4 |
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| 033 Evaluating Performance With TensorBoard_en.vtt |
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| 033 global Keyword_en.vtt |
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| 034 Make And Transform Predictions_en.vtt |
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| 034 Matrix_en.vtt |
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| 034 NEW Evaluating A Classification Model 5 (Confusion Matrix)_en.vtt |
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| 034 nonlocal Keyword_en.vtt |
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| 035 Evaluating A Classification Model 6 (Classification Report)_en.vtt |
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| 035 Evaluating A Classification Model 6 (Classification Report).mp4 |
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| 035 List Methods_en.vtt |
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| 035 List Methods.mp4 |
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| 035 Transform Predictions To Text_en.vtt |
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| 035 Transform Predictions To Text.mp4 |
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| 035 Why Do We Need Scope_en.vtt |
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| 035 Why Do We Need Scope.mp4 |
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| 036 List Methods 2_en.vtt |
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| 036 List Methods 2.mp4 |
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| 036 NEW Evaluating A Regression Model 1 (R2 Score)_en.vtt |
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| 036 Pure Functions_en.vtt |
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| 036 Visualizing Model Predictions_en.vtt |
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| 037 List Methods 3_en.vtt |
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| 037 map()_en.vtt |
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| 037 NEW Evaluating A Regression Model 2 (MAE)_en.vtt |
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| 037 NEW Evaluating A Regression Model 2 (MAE).mp4 |
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| 037 Visualizing And Evaluate Model Predictions 2_en.vtt |
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| 037 Visualizing And Evaluate Model Predictions 2.mp4 |
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| 038 Common List Patterns_en.vtt |
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| 038 filter()_en.vtt |
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| 038 NEW Evaluating A Regression Model 3 (MSE)_en.vtt |
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| 038 Visualizing And Evaluate Model Predictions 3_en.vtt |
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| 038 Visualizing And Evaluate Model Predictions 3.mp4 |
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| 039 List Unpacking_en.vtt |
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| 039 Machine Learning Model Evaluation.html |
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| 039 Saving And Loading A Trained Model_en.vtt |
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| 039 Saving And Loading A Trained Model.mp4 |
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| 040 NEW Evaluating A Model With Cross Validation and Scoring Parameter_en.vtt |
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| 040 NEW Evaluating A Model With Cross Validation and Scoring Parameter.mp4 |
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| 040 None_en.vtt |
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| 040 Training Model On Full Dataset_en.vtt |
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| 041 Dictionaries_en.vtt |
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| 041 List Comprehensions_en.vtt |
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| 041 Making Predictions On Test Images_en.vtt |
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| 041 Making Predictions On Test Images.mp4 |
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| 041 NEW Evaluating A Model With Scikit-learn Functions_en.vtt |
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| 042 DEVELOPER FUNDAMENTALS III_en.vtt |
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| 042 DEVELOPER FUNDAMENTALS III.mp4 |
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| 042 Improving A Machine Learning Model_en.vtt |
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| 042 Set Comprehensions_en.vtt |
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| 042 Submitting Model to Kaggle_en.vtt |
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| 043 Making Predictions On Our Images_en.vtt |
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| 043 Tuning Hyperparameters_en.vtt |
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| 044 Dictionary Methods_en.vtt |
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| 044 Finishing Dog Vision Where to next.html |
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| 044 Python Exam Testing Your Understanding.html |
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| 044 Tuning Hyperparameters 2_en.vtt |
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| 045 Tuning Hyperparameters 3_en.vtt |
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| 046 Note Metric Comparison Improvement.html |
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| 048 Saving And Loading A Model_en.vtt |
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| 050 Next Steps.html |
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| 050 Putting It All Together_en.vtt |
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| 050 Putting It All Together.mp4 |
143.19Мб |
| 051 Bonus Resource Python Cheatsheet.html |
489б |
| 051 Putting It All Together 2_en.vtt |
14.44Кб |
| 051 Putting It All Together 2.mp4 |
114.25Мб |
| 052 Scikit-Learn Practice.html |
2.07Кб |