Machine Learning with Python - Scikit Learn

conda install scikit-learn or pip install scikit-learn Every algorithm is exposed in scikit-learn via an "Estimator". from sklearn.linear_model import LinearRegression after creating a model, split data into 2 or 3 from sklearn.cross_validation import train_test_split X_train, X_test, y_train, y_test Then, train/fit model on the training data for supervised learning applications, the estimators accept 2 arguments: the data X and the labels y model.fit(X_train, y_train) for unsupervised learning ...