ft_linear_regression

21 School project about linear regression

About the project

The goal of the project is to introduce students to linear regression. In this project we have to files: train.py and predict.py. The task is to get coefficients of linear function by training on data.csv. In data.csv we have car's prices and mileage. When the model is trained, we should to test it, and make a prediction by runnint predict.py.

Installing dependecies and running virtual envirnment

To install all dependecies

>./start.sh

To activate virtual envirnment

>source .venv/bin/activate

Set configurations

To set train configurations configure configurations/train_configurations.json To set pridict configurations configure configurations/predict_configurations.json

Train model

To start train use

>./train.py

• Results

• Error dependens

• Determination dependens

Predict

To predict price run

>./predict.py <km>

where km is an integer

• Results

Statistics

The reason why I set learning rate 0.9 you cat see on the next imagies

>./statistics.py