0.3 How to get set up

0.4 - A User Guide for Jupyter Notebooks

0.5 - Other ways to code in Python

1.3 - Further Reading and References

2.1 - Python Libraries

2.2 - Overview of the Data

3.1 - Setting up Train and Test Splits

3.2 - The 'Dummy' Estimator

3.3 - The 'Dummy' Estimator with Scikit-learn

3.4 - Automating the Process

3.5 - The Generalised Linear Model

3.6 - Random Forest Model

4.1 - Visualisations

4.2 - Conclusion

4.3 - Next Steps

Downloadable notebooks and data (zipped)