- Introduction
  - [Introduction to Machine Learning](../1-Introduction/1-intro-to-ML/README.md)
  - [History of Machine Learning](../1-Introduction/2-history-of-ML/README.md)
  - [ML and Fairness](../1-Introduction/3-fairness/README.md)
  - [Techniques of ML](../1-Introduction/4-techniques-of-ML/README.md)

- Regression
  - [Tools of the Trade](../2-Regression/1-Tools/README.md)
  - [Data](../2-Regression/2-Data/README.md)
  - [Linear Regression](../2-Regression/3-Linear/README.md)
  - [Logistic Regression](../2-Regression/4-Logistic/README.md)

- Build a Web App
  - [Web App](../3-Web-App/1-Web-App/README.md)

- Classification
  - [Intro to Classification](../4-Classification/1-Introduction/README.md)
  - [Classifiers 1](../4-Classification/2-Classifiers-1/README.md)
  - [Classifiers 2](../4-Classification/3-Classifiers-2/README.md)
  - [Applied ML](../4-Classification/4-Applied/README.md)

- Clustering
  - [Visualize your Data](../5-Clustering/1-Visualize/README.md)
  - [K-Means](../5-Clustering/2-K-Means/README.md)

- NLP
  - [Introduction to NLP](../6-NLP/1-Introduction-to-NLP/README.md)
  - [NLP Tasks](../6-NLP/2-Tasks/README.md)
  - [Translation and Sentiment](../6-NLP/3-Translation-Sentiment/README.md)
  - [Hotel Reviews 1](../6-NLP/4-Hotel-Reviews-1/README.md)
  - [Hotel Reviews 2](../6-NLP/5-Hotel-Reviews-2/README.md)

- Time Series Forecasting
  - [Introduction to Time Series Forecasting](../7-TimeSeries/1-Introduction/README.md)
  - [ARIMA](../7-TimeSeries/2-ARIMA/README.md)
  - [SVR](../7-TimeSeries/3-SVR/README.md)

- Reinforcement Learning
  - [Q-Learning](../8-Reinforcement/1-QLearning/README.md)
  - [Gym](../8-Reinforcement/2-Gym/README.md)

- Real World ML
  - [Applications](../9-Real-World/1-Applications/README.md)