Machine Learning for Trading

Introduction

A transcription and some additional notes from my own of the Udacity Course lectures can be find on Machine Learning for Trading notes

Every directory has a different assigment.

All data are in "data" directory.

To run any IPython Notebook, use:

jupyter notebook <notebook_name.ipynb>

Name		Name	Last commit message	Last commit date
Latest commit History 121 Commits
.ipynb_checkpoints		.ipynb_checkpoints
__pycache__		__pycache__
assess_portfolio		assess_portfolio
data		data
defeat_learners		defeat_learners
grading		grading
manual_strategy		manual_strategy
market_simulator		market_simulator
marketsim		marketsim
optimize_something		optimize_something
qlearning_robot		qlearning_robot
strategy_learner		strategy_learner
strategy_learner_getting_data_online		strategy_learner_getting_data_online
.README.md		.README.md
README.md		README.md
github_push		github_push
util.py		util.py