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You're reading from  Hands-On Data Analysis with Pandas - Second Edition

Product typeBook
Published inApr 2021
Reading LevelIntermediate
PublisherPackt
ISBN-139781800563452
Edition2nd Edition
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Author (1)
Stefanie Molin
Stefanie Molin
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Stefanie Molin

Stefanie Molin is a data scientist and software engineer at Bloomberg LP in NYC, tackling tough problems in information security, particularly revolving around anomaly detection, building tools for gathering data, and knowledge sharing. She has extensive experience in data science, designing anomaly detection solutions, and utilizing machine learning in both R and Python in the AdTech and FinTech industries. She holds a B.S. in operations research from Columbia University's Fu Foundation School of Engineering and Applied Science, with minors in economics, and entrepreneurship and innovation. In her free time, she enjoys traveling the world, inventing new recipes, and learning new languages spoken among both people and computers.
Read more about Stefanie Molin

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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:

  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...
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Hands-On Data Analysis with Pandas - Second Edition
Published in: Apr 2021Publisher: PacktISBN-13: 9781800563452

Author (1)

author image
Stefanie Molin

Stefanie Molin is a data scientist and software engineer at Bloomberg LP in NYC, tackling tough problems in information security, particularly revolving around anomaly detection, building tools for gathering data, and knowledge sharing. She has extensive experience in data science, designing anomaly detection solutions, and utilizing machine learning in both R and Python in the AdTech and FinTech industries. She holds a B.S. in operations research from Columbia University's Fu Foundation School of Engineering and Applied Science, with minors in economics, and entrepreneurship and innovation. In her free time, she enjoys traveling the world, inventing new recipes, and learning new languages spoken among both people and computers.
Read more about Stefanie Molin