Even More Python for Beginners - Data Tools
31- Introduction to Even More Python for Beginners – Data Tools 04 minLecture1.1
- Introducing Jupyter Notebooks 13 minLecture1.2
- Introducing Anaconda 04 minLecture1.3
- Demo: Introducing Anaconda 04 minLecture1.4
- Getting started with pandas 10 minLecture1.5
- Demo: Getting started with pandas 07 minLecture1.6
- Introducing DataFrame 04 minLecture1.7
- Demo: Introducing DataFrame 03 minLecture1.8
- Working with a DataFrame 09 minLecture1.9
- Demo: Working with a DataFrame 05 minLecture1.10
- CSV files and Jupyter 02 minLecture1.11
- Demo: CSV files and Jupyter 02 minLecture1.12
- Loading CSV files into DataFrames 05 minLecture1.13
- Demo: Loading CSV files into DataFrames 06 minLecture1.14
- Manipulating DataFrame columns 04 minLecture1.15
- Demo: Manipulating DataFrame columns 04 minLecture1.16
- Handling duplicated and missing data 06 minLecture1.17
- Demo: Handling duplicated and missing data 06 minLecture1.18
- Introducing scikit-learn and setting up training data 12 minLecture1.19
- Demo: Setting up training data 06 minLecture1.20
- Training a model with scikit-learn 04 minLecture1.21
- Demo: Training a model with scikit-learn 03 minLecture1.22
- Testing a model with scikit-learn 03 minLecture1.23
- Demo: Testing a model with scikit-learn 04 minLecture1.24
- Exploring a model’s accuracy 04 minLecture1.25
- Demo: Exploring a model’s accuracy 04 minLecture1.26
- Working with NumPy 06 minLecture1.27
- Demo: Working with NumPy 05 minLecture1.28
- Visualizing data with Matplotlib 10 minLecture1.29
- Demo: Visualizing data with Matplotlib 04 minLecture1.30
- Conclusion and next steps 01 minLecture1.31
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