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PYTHON MACHINE LEARNING - PythonAnywhere

1 PYTHON MACHINE LEARNING from LEARNING PYTHON for Data Analysis and Visualization by Jose Portilla Notes by Michael Brothers Companion to the file PYTHON for Data Analysis. Table of Contents What is MACHINE LEARNING ? .. 3 Types of MACHINE LEARNING Supervised & Unsupervised .. 3 Supervised LEARNING .. 3 Supervised LEARNING : Regression .. 3 Supervised LEARNING : classification .. 3 Unsupervised LEARNING .. 3 Supervised LEARNING LINEAR REGRESSION .. 4 Getting & Setting Up the Data .. 4 Quick visualization of the data: .. 4 Root Mean Square Error .. 6 Using SciKit Learn to perform multivariate regressions .. 6 Building Training and Validation Sets using train_test_split .. 7 Predicting Prices .. 7 Residual Plots .. 8 Supervised LEARNING LOGISTIC REGRESSION .. 9 Getting & Setting Up the Data .. 9 Binary classification using the Logistic Function.

Types of Machine Learning – Supervised & Unsupervised Supervised Learning We have a dataset consisting of both features and labels. The task is to construct an estimator which is able to predict the label of an object given the set of features. Supervised Learning is divided into two categories: - Regression - Classification

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