July 2019
Beginner to intermediate
740 pages
16h 52m
English
Content preview from Hands-On Data Analysis with Pandas
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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:
- Practice machine learning classification by participating in the Titanic challenge on Kaggle at https://www.kaggle.com/c/titanic.
- 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.
- Perform an analysis on something that interests you. Some interesting ideas include:
- Predicting likes on Instagram: https://towardsdatascience.com/predict-the-number-of-likes-on-instagram-a7ec5c020203
- Analyzing delays of NJ transit trains: https://medium.com/@pranavbadami/how-data-can-help-fix-nj-transit-c0d15c0660fe ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.