Tour of Machine Learning Algorithms for Binary/Multiclass Classification

In this repo, I share my practices in building Machine Learning algorithms for binary and multiclass classfication problems using scikit-learn.

Table of contents

• Data Example
• Data Preparation
• Logistic Regression
• k-Nearest Neighbors (k-NN)
• Naive Bayes
• Linear SVM
• RBF SVM
• Decision Tree
• Random Forest
• Quadratic Discriminant Analysis
• Voting Classifier
• Multi-layer Perceptron

Demos

Figure: Binary classification task: (Left panel) Confusion matrix (middle panel) ROC curve (Right panel) Decision boundary for the given classifier.

Figure: Multiclass classification task: (Left panel) Confusion matrix (Right panel) Decision boundary for the given classifier.