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Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading
Home Page: https://www.packtpub.com/big-data-and-business-intelligence/hands-machine-learning-algorithmic-trading
Jupyter Notebook 99.84%
Python 0.15%
Shell 0.01%
machine-learning-for-trading's Introduction
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?
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