About

• 1.1. About Install
• 1.2. About Agenda
• 1.3. About Tutorial

Introduction

• 2.1. What is Data?
• 2.2. Basic Statistics
• 2.3. Machine Learning Introduction
• 2.4. Glossary
• 2.5. Datasets
• 2.6. Machine Learning Algorithms
• 2.7. Features
• 2.8. Classifiers

Sklearn

• 3.1. scikit-learn

Model Quality

• 4.1. Model Quality
• 4.2. Principal Component Analysis

Decision Trees

• 5.1. Decision Tree

Regressions

• 6.1. Linear Regression
• 6.2. Logistic Regression

K-Nearest Neighbors

• 7.1. K Nearest Neighbors

Bayes

• 8.1. Naive Bayes

Support Vector Machines

• 9.1. Support Vector Machines

Clustering

• 10.1. K-Means Clustering

Neural Networks

• 11.1. Deep Neural Network
• 11.2. Convolutional Neural Network

References

• 12.1. References

Articles

• 13.1. Machine Learning Introduction
• 13.2. Notes