Machine Learning for Algorithmic Trading using Python

Part 1: How to Design a Trading Strategy

01 Machine Learning for Trading

02: Market & Fundamental Data

03: Alternative Data for Finance

04: Research & Evaluation of Alpha Factors

05: Strategy Evaluation & Portfolio Management

Part 2: Machine Learning Fundamentals

06: The Machine Learning Process

07: Linear Models for Regression & Classification

08: Linear Time Series Models

09: Bayesian Machine Learning

10: Decision Trees & Random Forests

11: Gradient Boosting Machines

12: Unsupervised Learning

Part 3: Natural Language Processing

13: Working with Text Data

14: Topic Modeling

15: Word Vector Embeddings

Part 4: Deep & Reinforcement Learning

16: Deep Learning

17: Recurrent Neural Networks

18: Convolutional Neural Networks

19: Autoencoders & Generative Adversarial Networks

20: Reinforcement Learning

Part 5: Conclusion

21: What's Next?