Introduction To Machine Learning With Python
Guide For Data Scientists
Muller A.C.
creator
Guido S.
SPD O r'eilly
2017
eng
376
1. Introduction
2. Supervised Learning
3. Unsupervised Learning and Preprocessing
4. Representing Data and Engineering Features
5. Model Evaluation and
6. Algorithm Chains and Pipelines
7. Working with Text Data
8. Wrapping Up
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