1.2 KiB
1.2 KiB
ML4T
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.
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 the wonderful mplfinance. You can install mplfinance via pip and find the tutorial here.
pip install mplfinance --user
Use unzip with the -n flag to extract the archives for the different
exercises. This makes sure that you do not override any of the existing files. I
might add a makefile to automize this later.
unzip -n zips/20Spring_martingale.zip -d ./
unzip -n zips/19fall_optimize_something.zip -d ./