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.
Here is are free tutorial notes by Greg Lamp, co-founder of Yhat, @YhatHQ on
This tutorial was originally given at DataGotham conference in New York City, Sep 2013, and was converted to a collection of IPython Notebooks.
The tutorial was published on github - see DataGotham2013 or you can also see it using nbviewer.
- Tools Overview
- Case Study
- Importing Data
- scikit-learn basics
- Imputing Data
- Aggregation and Grouping
- Feature Engineering
- Fitting and Evaluating Your Model