Class Notes

• https://github.com/jcdevaney/data71200su22

Books

Required Text

• Guido, Sarah and Andreas C. Muller. (2016). Introduction to Machine Learning with Python. O’Reilly Media, Inc.

Recommended Texts

• Géron, Aurélien. (2019). Hands-On Machine Learning with Scikit-Learn, Keras and TensorFlow.  O’Reilly Media, Inc.
  • The first edition of the book is available online at https://github.com/yanshengjia/ml-road/blob/master/resources/Hands%20On%20Machine%20Learning%20with%20Scikit%20Learn%20and%20TensorFlow.pdf
• Hastie, Trevor, Jerome H. Friedman, and Robert Tibshirani. (2009). The Elements of Statistical Learning. Springer-Verlag New York.
  • The book is available online at https://web.stanford.edu/~hastie/Papers/ESLII.pdf

Coding Resources

• Anaconda
• Datacamp
• GitHub
• Google Colab
• SciKit Learn

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