Implementation of a simple linear regression model, as part of the 42 School ft_linear_regression project.

This project implements linear regression using a dataset to predict a dependent variable based on an independent variable. It involves data preprocessing, making predictions, and visualizing results using matplotlib. The final output is a scatter plot with a fitted regression line, showcasing the model’s accuracy.

Ce projet vous servira a faire vos premiers pas dans l'IA et plus precisement le machine learning. Vous allez commencer par algo simple. Vous coderez un program qui peut predire le prix d une voiture en utilisant la regression lineaire avec un algorithme du gradient

This project implements a simple linear regression with a single feature.

ft_linear_regression project of school 42

Train a linear regression model using the gradient descent algorithm. First step to machine learning.

📈 simple linear regression algorithm using gradient descent

Linear regression + Prediction

Your first implementation of a machine learning algorithm. Predicting the price of a car by it's milage