Free Tutorial: Data Science in Python
This Data Science in Python tutorial covers importing data, scikit-learn basics, aggregation and grouping, feature engineering, model evaluation, and deployment.
This tutorial was originally given at DataGotham conference in New York City, Sep 2013, and was converted to a collection of IPython Notebooks.
- Tools Overview
- Case Study
- Importing Data
- scikit-learn basics
- Imputing Data
- Aggregation and Grouping
- Feature Engineering
- Fitting and Evaluating Your Model