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Even More Python for Beginners

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CoursesProgrammingEven More Python for Beginners
  • Even More Python for Beginners - Data Tools
    31
    • Lecture1.1
      Introduction to Even More Python for Beginners – Data Tools 04 min
    • Lecture1.2
      Introducing Jupyter Notebooks 13 min
    • Lecture1.3
      Introducing Anaconda 04 min
    • Lecture1.4
      Demo: Introducing Anaconda 04 min
    • Lecture1.5
      Getting started with pandas 10 min
    • Lecture1.6
      Demo: Getting started with pandas 07 min
    • Lecture1.7
      Introducing DataFrame 04 min
    • Lecture1.8
      Demo: Introducing DataFrame 03 min
    • Lecture1.9
      Working with a DataFrame 09 min
    • Lecture1.10
      Demo: Working with a DataFrame 05 min
    • Lecture1.11
      CSV files and Jupyter 02 min
    • Lecture1.12
      Demo: CSV files and Jupyter 02 min
    • Lecture1.13
      Loading CSV files into DataFrames 05 min
    • Lecture1.14
      Demo: Loading CSV files into DataFrames 06 min
    • Lecture1.15
      Manipulating DataFrame columns 04 min
    • Lecture1.16
      Demo: Manipulating DataFrame columns 04 min
    • Lecture1.17
      Handling duplicated and missing data 06 min
    • Lecture1.18
      Demo: Handling duplicated and missing data 06 min
    • Lecture1.19
      Introducing scikit-learn and setting up training data 12 min
    • Lecture1.20
      Demo: Setting up training data 06 min
    • Lecture1.21
      Training a model with scikit-learn 04 min
    • Lecture1.22
      Demo: Training a model with scikit-learn 03 min
    • Lecture1.23
      Testing a model with scikit-learn 03 min
    • Lecture1.24
      Demo: Testing a model with scikit-learn 04 min
    • Lecture1.25
      Exploring a model’s accuracy 04 min
    • Lecture1.26
      Demo: Exploring a model’s accuracy 04 min
    • Lecture1.27
      Working with NumPy 06 min
    • Lecture1.28
      Demo: Working with NumPy 05 min
    • Lecture1.29
      Visualizing data with Matplotlib 10 min
    • Lecture1.30
      Demo: Visualizing data with Matplotlib 04 min
    • Lecture1.31
      Conclusion and next steps 01 min
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