a project of École 42, where it is necessary to create a program that predicts the price of a car using linear functional train with gradient descent algorithm.
implementation of linear regression with one observation - in this case, the mileage of the car.
the first program is used to train the model.
it will read the dataset file. the resulting coefficients are theta0 and theta1 are saved for use in the second program.
python3 train_model.py data.csv -vis
the second program predicts the price of a car for a given mileage.
python3 predict_price.py <mileage>
optional arguments:
-h show help message and exit
-lr set learning rate
-ep set number of epochs to train
-vis show a linear regression plot