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|Felix Martin e577ce34d2||2 years ago|
|assess_learners||3 years ago|
|crypto_eval||2 years ago|
|defeat_learners||3 years ago|
|manual_strategy||3 years ago|
|marketsim||3 years ago|
|martingale||3 years ago|
|optimize_something||3 years ago|
|playground||3 years ago|
|qlearning_robot||3 years ago|
|strategy_evaluation||3 years ago|
|zips||3 years ago|
|.gitignore||2 years ago|
|LICENSE||3 years ago|
|README.md||3 years ago|
|util.py||2 years ago|
This is my solution to the ML4T course exercises. The main page for the course is here. The page contains a link to the assignments. There are eight projects in total. The summer 2020 page is here.
To set up the environment I have installed the following packages on my Linux Manjaro based system.
sudo pacman -S python-pandas --asdeps python-pandas-datareader python-numexpr \ python-bottleneck python-jinja python-scipy python-matplotlib \ python-numpy
I am also using mplfinance to plot candlestick-charts. You can install mplfinance via pip and find the tutorial here.
pip install mplfinance --user
I have included the archived version of the exercise. To extract them run the
following command. The
-n flag makes unzip never overwrite existing files.
unzip -n zips/*.zip -d ./