├── Chapter 1 - A Gentle Introduction to Machine Learning.ipynb ├── Chapter 1 (2nd ed.) - A Gentle Introduction to Machine Learning with Python and Scikit-learn.ipynb ├── Chapter 2 - Supervised Learning - Image Recognition with Support Vector Machines.ipynb ├── Chapter 2 - Supervised Learning - Regression.ipynb ├── Chapter 2 - Supervised Learning - Text Classification with Naive Bayes.ipynb ├── Chapter 2 - Supervised learning - Explaining Titanic Hypothesis with Decision Trees.ipynb ├── Chapter 3 - Unsupervised Learning - Clustering Handwritten Digits.ipynb ├── Chapter 3 - Unsupervised Learning - Principal Component Analysis.ipynb ├── Chapter 4 - Advanced Features - Feature Engineering and Selection.ipynb ├── Chapter 4 - Advanced Features - Model Selection.ipynb ├── Library versions, readme.ipynb ├── README.md ├── data ├── stopwords_en.txt └── titanic.csv └── titanic.png /Chapter 1 - A Gentle Introduction to Machine Learning.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/gmonce/scikit-learn-book/HEAD/Chapter 1 - A Gentle Introduction to Machine Learning.ipynb -------------------------------------------------------------------------------- /Chapter 1 (2nd ed.) - A Gentle Introduction to Machine Learning with Python and Scikit-learn.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/gmonce/scikit-learn-book/HEAD/Chapter 1 (2nd ed.) - A Gentle Introduction to Machine Learning with Python and Scikit-learn.ipynb -------------------------------------------------------------------------------- /Chapter 2 - Supervised Learning - Image Recognition with Support Vector Machines.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/gmonce/scikit-learn-book/HEAD/Chapter 2 - Supervised Learning - Image Recognition with Support Vector Machines.ipynb -------------------------------------------------------------------------------- /Chapter 2 - Supervised Learning - Regression.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/gmonce/scikit-learn-book/HEAD/Chapter 2 - Supervised Learning - Regression.ipynb -------------------------------------------------------------------------------- /Chapter 2 - Supervised Learning - Text Classification with Naive Bayes.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/gmonce/scikit-learn-book/HEAD/Chapter 2 - Supervised Learning - Text Classification with Naive Bayes.ipynb -------------------------------------------------------------------------------- /Chapter 2 - Supervised learning - Explaining Titanic Hypothesis with Decision Trees.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/gmonce/scikit-learn-book/HEAD/Chapter 2 - Supervised learning - Explaining Titanic Hypothesis with Decision Trees.ipynb -------------------------------------------------------------------------------- /Chapter 3 - Unsupervised Learning - Clustering Handwritten Digits.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/gmonce/scikit-learn-book/HEAD/Chapter 3 - Unsupervised Learning - Clustering Handwritten Digits.ipynb -------------------------------------------------------------------------------- /Chapter 3 - Unsupervised Learning - Principal Component Analysis.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/gmonce/scikit-learn-book/HEAD/Chapter 3 - Unsupervised Learning - Principal Component Analysis.ipynb -------------------------------------------------------------------------------- /Chapter 4 - Advanced Features - Feature Engineering and Selection.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/gmonce/scikit-learn-book/HEAD/Chapter 4 - Advanced Features - Feature Engineering and Selection.ipynb -------------------------------------------------------------------------------- /Chapter 4 - Advanced Features - Model Selection.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/gmonce/scikit-learn-book/HEAD/Chapter 4 - Advanced Features - Model Selection.ipynb -------------------------------------------------------------------------------- /Library versions, readme.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/gmonce/scikit-learn-book/HEAD/Library versions, readme.ipynb -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/gmonce/scikit-learn-book/HEAD/README.md -------------------------------------------------------------------------------- /data/stopwords_en.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/gmonce/scikit-learn-book/HEAD/data/stopwords_en.txt -------------------------------------------------------------------------------- /data/titanic.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/gmonce/scikit-learn-book/HEAD/data/titanic.csv -------------------------------------------------------------------------------- /titanic.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/gmonce/scikit-learn-book/HEAD/titanic.png --------------------------------------------------------------------------------