full version in pdf
wiki about linear regression
for ex: ./training.py && ./prediction.py -v 100000 -d data/data.csv
./training.py [-h] [-d datafile] [-i iterations] [-lr learning rate] [-s storage]
This one trains linear model on datafile, saves coefficients to storage and demonstrates error decreasing through iterations (it also depends on learning rate though).
./prediction.py [-h] -v value [-d datafile] [-s storage] \
This one predicts result for value, based on coefficients from storage, and with given datafile plots it all together with data.
