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gmonce's
repositories
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data
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Chapter 1 - A Gentle Introduction to Machine Learning.ipynb
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Chapter 1 (2nd ed.) - A Gentle Introduction to Machine Learning with Python and Scikit-learn.ipynb
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Chapter 2 - Supervised Learning - Image Recognition with Support Vector Machines.ipynb
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Chapter 2 - Supervised Learning - Regression.ipynb
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Chapter 2 - Supervised Learning - Text Classification with Naive Bayes.ipynb
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Chapter 2 - Supervised learning - Explaining Titanic Hypothesis with Decision Trees.ipynb
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Chapter 3 - Unsupervised Learning - Clustering Handwritten Digits.ipynb
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Chapter 3 - Unsupervised Learning - Principal Component Analysis.ipynb
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Chapter 4 - Advanced Features - Feature Engineering and Selection.ipynb
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Chapter 4 - Advanced Features - Model Selection.ipynb
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Library versions, readme.ipynb
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README.md
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titanic.png
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