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Notes for "machine learning for trading" course: https://www.udacity.com/course/machine-learning-for-trading--ud501

https://github.com/surgeforward

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Name		Name	Last commit message	Last commit date
Latest commit History 10 Commits
data		data
testcases_mc2p1		testcases_mc2p1
.gitignore		.gitignore
01-01 Reading and plotting stock data.ipynb		01-01 Reading and plotting stock data.ipynb
01-02 Working with multiple stocks.ipynb		01-02 Working with multiple stocks.ipynb
01-03 The power of NumPy.ipynb		01-03 The power of NumPy.ipynb
01-04 Statistical analysis of time series.ipynb		01-04 Statistical analysis of time series.ipynb
01-05 Incomplete data.ipynb		01-05 Incomplete data.ipynb
01-06 Histograms and scatter plots.ipynb		01-06 Histograms and scatter plots.ipynb
01-07 Sharpe ratio and other portfolio statistics.ipynb		01-07 Sharpe ratio and other portfolio statistics.ipynb
01-08 Optimizers Building a parameterized model.ipynb		01-08 Optimizers Building a parameterized model.ipynb
01-09 Optimizers How to optimize a portfolio.ipynb		01-09 Optimizers How to optimize a portfolio.ipynb
02-01 So you want to be a hedge fund manager.ipynb		02-01 So you want to be a hedge fund manager.ipynb
02-02 Market Mechanics.ipynb		02-02 Market Mechanics.ipynb
02-03 What is a company worth.ipynb		02-03 What is a company worth.ipynb
02-04 CAPM Capital Asset Pricing Model.ipynb		02-04 CAPM Capital Asset Pricing Model.ipynb
02-05 How hedge funds use the CAPM.ipynb		02-05 How hedge funds use the CAPM.ipynb
02-06 Technical Analysis.ipynb		02-06 Technical Analysis.ipynb
02-07 Dealing with Data.ipynb		02-07 Dealing with Data.ipynb
02-08 Efficient Markets Hypothesis.ipynb		02-08 Efficient Markets Hypothesis.ipynb
02-09 The Fundamental Law of Active Portfolio Management.ipynb		02-09 The Fundamental Law of Active Portfolio Management.ipynb
02-10 Portfolio Optimization and The Efficient Frontier.ipynb		02-10 Portfolio Optimization and The Efficient Frontier.ipynb
03-01 How Machine Learning is used at a hedge fund.ipynb		03-01 How Machine Learning is used at a hedge fund.ipynb
03-02 Regression.ipynb		03-02 Regression.ipynb
03-03 Assessing a learning algorithm.ipynb		03-03 Assessing a learning algorithm.ipynb
03-04 Ensemble learners, bagging and boosting.ipynb		03-04 Ensemble learners, bagging and boosting.ipynb
03-05 Reinforcement Learning.ipynb		03-05 Reinforcement Learning.ipynb
03-06 Q-Learning.ipynb		03-06 Q-Learning.ipynb
DataHelper.py		DataHelper.py
MC2-Project-1 Build a Market Simulator.ipynb		MC2-Project-1 Build a Market Simulator.ipynb
MC3-Project-1 Learners.ipynb		MC3-Project-1 Learners.ipynb
README.md		README.md

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