Exercises

The exercises in this chapter are open-ended—no solutions are provided. They are meant to give you some ideas so that you can get started on your own:

1. Practice machine learning classification by participating in the Titanic challenge on Kaggle at https://www.kaggle.com/c/titanic.
2. Practice machine learning regression techniques by participating in the housing prices challenge on Kaggle at https://www.kaggle.com/c/house-prices-advanced-regression-techniques.
3. Perform an analysis on something that interests you. Some interesting ideas include the following:

   a) Predicting likes on Instagram: https://towardsdatascience.com/predict-the-number-of-likes-on-instagram-a7ec5c020203

   b) Analyzing delays of NJ transit trains: https://medium.com/@pranavbadami/how-data-can-help-fix-nj-transit-c0d15c0660fe

   c) Using visualizations to solve data science problems: https://towardsdatascience.com/solving-a-data-science-challenge-the-visual-way-355cfabcb1c5

4. Complete five...