Complete Machine Learning and Data Science : Zero to Mastery [Anglais][06-2020][Udemy][st-Anglais][Mp4]

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Complete Machine Learning and Data Science : Zero to Mastery [Anglais][06-2020][Udemy][st-Anglais][Mp4]

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Complete Machine Learning and Data Science : Zero to Mastery [Anglais][06-2020][Udemy][st-Anglais][Mp4]
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01 Introduction
001 Course Outline.en_US.srt
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001 Course Outline.mp4
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144.64 MB
002 Join Our Online Classroom!.html
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003 Exercise_ Meet The Community.html
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004 Your First Day.en_US.srt
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004 Your First Day.mp4
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02 Machine Learning 101
005 What Is Machine Learning_.en_US.srt
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005 What Is Machine Learning_.mp4
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006 AI_Machine Learning_Data Science.en_US.srt
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006 AI_Machine Learning_Data Science.mp4
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007 Exercise_ Machine Learning Playground.en_US.srt
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007 Exercise_ Machine Learning Playground.mp4
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007 Teachable-Machine.txt
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008 How Did We Get Here_.en_US.srt
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008 How Did We Get Here_.mp4
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009 Exercise_ YouTube Recommendation Engine.en_US.srt
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009 Exercise_ YouTube Recommendation Engine.mp4
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009 Machine-Learning-Playground.txt
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010 Types of Machine Learning.en_US.srt
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010 Types of Machine Learning.mp4
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011 Are You Getting It Yet_.html
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012 What Is Machine Learning_ Round 2.en_US.srt
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012 What Is Machine Learning_ Round 2.mp4
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013 Section Review.en_US.srt
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013 Section Review.mp4
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03 Machine Learning and Data Science Framework
014 Section Overview.en_US.srt
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014 Section Overview.mp4
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015 Introducing Our Framework.en_US.srt
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015 Introducing Our Framework.mp4
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016 6 Step Machine Learning Framework.en_US.srt
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016 6 Step Machine Learning Framework.mp4
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016 A-6-Step-Field-Guide-for-Machine-Learning-Modelling-blog-post-.txt
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017 Types of Machine Learning Problems.en_US.srt
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017 Types of Machine Learning Problems.mp4
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018 Types of Data.en_US.srt
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018 Types of Data.mp4
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019 Types of Evaluation.en_US.srt
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019 Types of Evaluation.mp4
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020 Features In Data.en_US.srt
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020 Features In Data.mp4
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021 Modelling - Splitting Data.en_US.srt
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021 Modelling - Splitting Data.mp4
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022 Modelling - Picking the Model.en_US.srt
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022 Modelling - Picking the Model.mp4
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023 Modelling - Tuning.en_US.srt
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023 Modelling - Tuning.mp4
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024 Modelling - Comparison.en_US.srt
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024 Modelling - Comparison.mp4
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025 Overfitting and Underfitting Definitions.html
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026 Experimentation.en_US.srt
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026 Experimentation.mp4
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027 Tools We Will Use.en_US.srt
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027 Tools We Will Use.mp4
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028 Optional_ Elements of AI.html
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04 The 2 Paths
029 The 2 Paths.en_US.srt
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029 The 2 Paths.mp4
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030 Python + Machine Learning Monthly.html
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05 Data Science Environment Setup
031 Section Overview.en_US.srt
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031 Section Overview.mp4
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032 Introducing Our Tools.en_US.srt
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032 Introducing Our Tools.mp4
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033 Conda-documentation.txt
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033 Getting-started-with-Conda-documentation-.txt
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033 Getting-your-computer-ready-for-machine-learning-How-what-and-why-you-should-use-Anaconda-Miniconda-and-Conda-blog-post-.txt
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033 What is Conda_.en_US.srt
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033 What is Conda_.mp4
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033 conda-cheatsheet.pdf
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034 Conda Environments.en_US.srt
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034 Conda Environments.mp4
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035 Mac Environment Setup.en_US.srt
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035 Mac Environment Setup.mp4
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035 Miniconda-download-documentation.txt
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036 Mac Environment Setup 2.en_US.srt
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036 Mac Environment Setup 2.mp4
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037 Miniconda-download-documentation.txt
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037 Windows Environment Setup.en_US.srt
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037 Windows Environment Setup.mp4
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038 Windows Environment Setup 2.en_US.srt
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038 Windows Environment Setup 2.mp4
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039 Linux Environment Setup.html
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040 Conda-documentation-on-sharing-an-environment.txt
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040 Sharing your Conda Environment.html
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041 6-step-ml-framework.png
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041 Dataquest-Jupyter-Notebook-for-Beginners-Tutorial.txt
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041 Jupyter Notebook Walkthrough.en_US.srt
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041 Jupyter Notebook Walkthrough.mp4
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041 Jupyter-Notebook-documentation.txt
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041 heart-disease.csv
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042 Jupyter Notebook Walkthrough 2.en_US.srt
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042 Jupyter Notebook Walkthrough 2.mp4
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043 Jupyter Notebook Walkthrough 3.en_US.srt
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043 Jupyter Notebook Walkthrough 3.mp4
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06 Pandas_ Data Analysis
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044 Section Overview.mp4
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045 Downloading Workbooks and Assignments.html
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046 10-minutes-to-pandas-from-the-pandas-documentation-.txt
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046 Introduction-to-Pandas-Jupyter-Notebook-from-the-upcoming-videos-.txt
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046 Introduction-to-Pandas-Jupyter-Notebook-with-annotations-.txt
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046 Pandas Introduction.en_US.srt
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046 Pandas Introduction.mp4
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046 Pandas-Documentation.txt
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047 Series, Data Frames and CSVs.en_US.srt
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047 Series, Data Frames and CSVs.mp4
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047 pandas-anatomy-of-a-dataframe.png
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048 Data from URLs.html
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049 Describing Data with Pandas.en_US.srt
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049 Describing Data with Pandas.mp4
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050 Selecting and Viewing Data with Pandas.en_US.srt
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050 Selecting and Viewing Data with Pandas.mp4
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050 car-sales.csv
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051 Selecting and Viewing Data with Pandas Part 2.en_US.srt
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051 Selecting and Viewing Data with Pandas Part 2.mp4
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052 Jake-VanderPlass-Data-Manipulation-with-Pandas.txt
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052 Manipulating Data.en_US.srt
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052 Manipulating Data.mp4
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052 car-sales-missing-data.csv
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053 Manipulating Data 2.en_US.srt
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053 Manipulating Data 2.mp4
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053 pandas-anatomy-of-a-dataframe.png
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054 Introduction-to-Pandas-Jupyter-Notebook-from-the-videos-.txt
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054 Introduction-to-Pandas-Jupyter-Notebook-with-annotations-.txt
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054 Manipulating Data 3.en_US.srt
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054 Manipulating Data 3.mp4
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055 Assignment_ Pandas Practice.html
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056 Course-notebooks-Github.txt
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056 Google-Colab.txt
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056 How To Download The Course Assignments.en_US.srt
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056 How To Download The Course Assignments.mp4
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07 NumPy
057 Section Overview.en_US.srt
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057 Section Overview.mp4
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058 Introduction-to-NumPy-Jupyter-Notebook-from-the-upcoming-videos-.txt
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058 Introduction-to-NumPy-Jupyter-Notebook-with-annotations-.txt
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058 NumPy Introduction.en_US.srt
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058 NumPy Introduction.mp4
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058 NumPy-Documentation.txt
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059 Quick Note_ Correction In Next Video.html
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060 NumPy DataTypes and Attributes.en_US.srt
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060 NumPy DataTypes and Attributes.mp4
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061 Creating NumPy Arrays.en_US.srt
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061 Creating NumPy Arrays.mp4
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062 NumPy Random Seed.en_US.srt
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062 NumPy Random Seed.mp4
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063 Viewing Arrays and Matrices.en_US.srt
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063 Viewing Arrays and Matrices.mp4
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064 Manipulating Arrays.en_US.srt
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064 Manipulating Arrays.mp4
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064 Standard-deviation-and-variance-explained.txt
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065 Manipulating Arrays 2.en_US.srt
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065 Manipulating Arrays 2.mp4
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065 Standard-deviation-and-variance-explained.txt
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066 Standard Deviation and Variance.en_US.srt
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066 Standard Deviation and Variance.mp4
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066 Standard-deviation-and-variance-explained.txt
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067 Reshape and Transpose.en_US.srt
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067 Reshape and Transpose.mp4
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068 Dot Product vs Element Wise.en_US.srt
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068 Dot Product vs Element Wise.mp4
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068 Matrix-Multiplication-Explained.txt
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069 Exercise_ Nut Butter Store Sales.en_US.srt
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069 Exercise_ Nut Butter Store Sales.mp4
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070 Comparison Operators.en_US.srt
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070 Comparison Operators.mp4
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071 Sorting Arrays.en_US.srt
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071 Sorting Arrays.mp4
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072 Introduction-to-NumPy-Jupyter-Notebook-from-the-videos-.txt
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072 Introduction-to-NumPy-Jupyter-Notebook-with-annotations-.txt
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072 Turn Images Into NumPy Arrays.en_US.srt
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072 Turn Images Into NumPy Arrays.mp4
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073 Assignment_ NumPy Practice.html
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074 Optional_ Extra NumPy resources.html
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panda.png
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08 Matplotlib_ Plotting and Data Visualization
075 Section Overview.en_US.srt
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075 Section Overview.mp4
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076 Introduction-to-Matplotlib-Jupyter-Notebook-from-the-upcoming-videos-.txt
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076 Matplotlib Introduction.en_US.srt
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076 Matplotlib Introduction.mp4
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076 Matplotlib-Documentation.txt
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077 Importing And Using Matplotlib.en_US.srt
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077 Importing And Using Matplotlib.mp4
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078 Anatomy Of A Matplotlib Figure.en_US.srt
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078 Anatomy Of A Matplotlib Figure.mp4
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078 matplotlib-anatomy-of-a-plot-with-code.png
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078 matplotlib-anatomy-of-a-plot.png
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079 Scatter Plot And Bar Plot.en_US.srt
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079 Scatter Plot And Bar Plot.mp4
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080 Histograms And Subplots.en_US.srt
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080 Histograms And Subplots.mp4
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081 Subplots Option 2.en_US.srt
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081 Subplots Option 2.mp4
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082 Quick Tip_ Data Visualizations.en_US.srt
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082 Quick Tip_ Data Visualizations.mp4
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083 Plotting From Pandas DataFrames.en_US.srt
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083 Plotting From Pandas DataFrames.mp4
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084 Quick Note_ Regular Expressions.html
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085 Plotting From Pandas DataFrames 2.en_US.srt
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085 Plotting From Pandas DataFrames 2.mp4
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086 Plotting from Pandas DataFrames 3.en_US.srt
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086 Plotting from Pandas DataFrames 3.mp4
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087 Plotting from Pandas DataFrames 4.en_US.srt
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087 Plotting from Pandas DataFrames 4.mp4
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087 heart-disease.csv
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088 Plotting from Pandas DataFrames 5.en_US.srt
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088 Plotting from Pandas DataFrames 5.mp4
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089 Plotting from Pandas DataFrames 6.en_US.srt
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089 Plotting from Pandas DataFrames 6.mp4
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090 Plotting from Pandas DataFrames 7.en_US.srt
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090 Plotting from Pandas DataFrames 7.mp4
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091 Customizing Your Plots.en_US.srt
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091 Customizing Your Plots.mp4
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092 Customizing Your Plots 2.en_US.srt
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092 Customizing Your Plots 2.mp4
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093 Introduction-to-Matplotlib-Notebook-from-the-videos-.txt
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093 Saving And Sharing Your Plots.en_US.srt
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093 Saving And Sharing Your Plots.mp4
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094 Assignment_ Matplotlib Practice.html
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09 Scikit-learn_ Creating Machine Learning Models
095 Section Overview.en_US.srt
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095 Section Overview.mp4
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096 Introduction-to-Scikit-Learn-Jupyter-Notebook-from-the-upcoming-videos-.txt
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096 Introduction-to-Scikit-Learn-Jupyter-Notebook-with-annotations-.txt
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096 Scikit-Learn-Documentation.txt
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096 Scikit-learn Introduction.mp4
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097 Quick Note_ Upcoming Video.html
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098 Refresher_ What Is Machine Learning_.en_US.srt
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098 Refresher_ What Is Machine Learning_.mp4
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099 Quick Note_ Upcoming Videos.html
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100 Scikit-Learn-Reference-Notebook.txt
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100 Scikit-learn Cheatsheet.en_US.srt
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100 Scikit-learn Cheatsheet.mp4
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101 Example-Scikit-Learn-Workflow-Notebook.txt
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101 Typical scikit-learn Workflow.en_US.srt
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101 Typical scikit-learn Workflow.mp4
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102 Optional_ Debugging Warnings In Jupyter.en_US.srt
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102 Optional_ Debugging Warnings In Jupyter.mp4
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103 Getting Your Data Ready_ Splitting Your Data.en_US.srt
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103 Getting Your Data Ready_ Splitting Your Data.mp4
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104 Quick Tip_ Clean, Transform, Reduce.en_US.srt
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104 Quick Tip_ Clean, Transform, Reduce.mp4
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105 Getting Your Data Ready_ Convert Data To Numbers.en_US.srt
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105 Getting Your Data Ready_ Convert Data To Numbers.mp4
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106 Getting Your Data Ready_ Handling Missing Values With Pandas.en_US.srt
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106 Getting Your Data Ready_ Handling Missing Values With Pandas.mp4
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107 Extension_ Feature Scaling.html
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108 Note_ Correction in the upcoming video (splitting data).html
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109 Getting Your Data Ready_ Handling Missing Values With Scikit-learn.en_US.srt
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109 Getting Your Data Ready_ Handling Missing Values With Scikit-learn.mp4
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110 Choosing The Right Model For Your Data.en_US.srt
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110 Choosing The Right Model For Your Data.mp4
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110 Scikit-Learn-machine-learning-map-how-to-choose-the-right-machine-learning-model-.txt
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111 Choosing The Right Model For Your Data 2 (Regression).en_US.srt
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111 Choosing The Right Model For Your Data 2 (Regression).mp4
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112 Quick Note_ Decision Trees.html
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113 Quick Tip_ How ML Algorithms Work.en_US.srt
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113 Quick Tip_ How ML Algorithms Work.mp4
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114 Choosing The Right Model For Your Data 3 (Classification).en_US.srt
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114 Choosing The Right Model For Your Data 3 (Classification).mp4
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115 Fitting A Model To The Data.en_US.srt
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115 Fitting A Model To The Data.mp4
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116 Making Predictions With Our Model.en_US.srt
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116 Making Predictions With Our Model.mp4
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117 predict() vs predict_proba().en_US.srt
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117 predict() vs predict_proba().mp4
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118 Making Predictions With Our Model (Regression).en_US.srt
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118 Making Predictions With Our Model (Regression).mp4
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119 Evaluating A Machine Learning Model (Score).en_US.srt
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119 Evaluating A Machine Learning Model (Score).mp4
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120 Evaluating A Machine Learning Model 2 (Cross Validation).en_US.srt
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120 Evaluating A Machine Learning Model 2 (Cross Validation).mp4
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121 Evaluating A Classification Model 1 (Accuracy).en_US.srt
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121 Evaluating A Classification Model 1 (Accuracy).mp4
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122 Evaluating A Classification Model 2 (ROC Curve).en_US.srt
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123 Evaluating A Classification Model 3 (ROC Curve).en_US.srt
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123 Evaluating A Classification Model 3 (ROC Curve).mp4
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124 Reading Extension_ ROC Curve + AUC.html
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125 Evaluating A Classification Model 4 (Confusion Matrix).en_US.srt
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125 Evaluating A Classification Model 4 (Confusion Matrix).mp4
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126 Evaluating A Classification Model 5 (Confusion Matrix).en_US.srt
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126 Evaluating A Classification Model 5 (Confusion Matrix).mp4
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127 Evaluating A Classification Model 6 (Classification Report).en_US.srt
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127 Evaluating A Classification Model 6 (Classification Report).mp4
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128 Evaluating A Regression Model 1 (R2 Score).en_US.srt
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128 Evaluating A Regression Model 1 (R2 Score).mp4
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129 Evaluating A Regression Model 2 (MAE).en_US.srt
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129 Evaluating A Regression Model 2 (MAE).mp4
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130 Evaluating A Regression Model 3 (MSE).en_US.srt
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130 Evaluating A Regression Model 3 (MSE).mp4
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131 Machine Learning Model Evaluation.html
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132 Evaluating A Model With Cross Validation and Scoring Parameter.en_US.srt
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132 Evaluating A Model With Cross Validation and Scoring Parameter.mp4
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133 Evaluating A Model With Scikit-learn Functions.en_US.srt
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133 Evaluating A Model With Scikit-learn Functions.mp4
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134 Improving A Machine Learning Model.en_US.srt
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134 Improving A Machine Learning Model.mp4
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135 Tuning Hyperparameters.en_US.srt
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135 Tuning Hyperparameters.mp4
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136 Tuning Hyperparameters 2.en_US.srt
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136 Tuning Hyperparameters 2.mp4
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137 Tuning Hyperparameters 3.en_US.srt
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137 Tuning Hyperparameters 3.mp4
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138 Note_ Metric Comparison Improvement.html
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139 Quick Tip_ Correlation Analysis.en_US.srt
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139 Quick Tip_ Correlation Analysis.mp4
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140 Saving And Loading A Model.en_US.srt
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140 Saving And Loading A Model.mp4
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141 Saving And Loading A Model 2.en_US.srt
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141 Saving And Loading A Model 2.mp4
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142 Putting It All Together.en_US.srt
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142 Putting It All Together.mp4
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142 Read-Corrected-splitting-data-notebook.txt
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143 Introduction-to-Scikit-Learn-Jupyter-Notebook-with-annotations-.txt
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143 Putting It All Together 2.en_US.srt
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143 Putting It All Together 2.mp4
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144 Scikit-Learn Practice.html
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car-sales-extended-missing-data.csv
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car-sales-extended.csv
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car-sales-missing-data.csv
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heart-disease.csv
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10 Supervised Learning_ Classification + Regression
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11 Milestone Project 1_ Supervised Learning (Classification)
146 Section Overview.en_US.srt
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146 Section Overview.mp4
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147 End-to-end-Heart-Disease-Classification-Notebook-same-as-in-videos-.txt
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19 Bonus_ Learn Advanced Statistics and Mathematics for FREE!
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20 Where To Go From Here_
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