ft_linear_regression

An introduction to machine learning

In this project, you will implement your first machine learning algorithm.

Introduction • How To Use • Description • About 42 Cursus • Related • License

Introduction

How To Use

To clone and run this project, you'll need Git, Python installed on your computer. From your command line:

# Clone this repository via HTTPS
$ git clone https://github.com/ArthurCrespy/ft_linear_regression
# OR clone this repository via SSH
$ git clone git@github.com:ArthurCrespy/ft_linear_regression.git

# Go into the repository
$ cd ft_linear_regression/files

# Train the model
$ train.py ../datasets/data.csv

# Output the result
$ predict.py

Description

ft_linear_regression is an introductory project to machine learning where you implement a simple linear regression algorithm. The goal is to predict car prices based on mileage using a linear function trained with gradient descent. You'll design two programs: one to train the model and compute parameters, and another to predict car prices for given mileage.

About 42 Cursus

IA project. You will learn the basics of regression.

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License

For now, all rights are reserved.

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Github @Thur' | LinkedIn @Arthur Crespy | Instagram @crespyarthur