An Algo Project at Codam (42) - Linear Regression

First of the projects in the machine learning area at 42 network. Objective is to create a linear regression function in the language of choise (python3), train the model on the given dataset, save generated indexes and use them to predict car price depending on it's mileage.

ft_linear_regression.py functions with csv files with , as separator

Clone and change directory to project, then

python3 ft_linear_regression.py [path/to/dataset.csv [flags]]
python3 predict.py your_desired_mileage

If no file is passed as a parameter, function asks to enter filename to standard input

-vs 	- visualize standardized dataset and solution
-vo 	- visualize original dataset and solution
-err 	- print mean squared error after each iteration of regression
-lr 	- set learning rate (affects speed of learning), must be followed by a number