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ft_linear_regression

presentation ft_linear_regression

Overview

ft_linear_regression is a 42 machine learning project to create a program that predicts the price of a car by using a linear function train with a gradient descent algorithm. Dataset consists of a pair of price and mileage in src/data.csv. In this project we are free to use any language, so I used Javascript(NodeJS and React for visualization)

How to use

  1. Install package

    > pnpm i
    
  2. Prediction before train

    Try to predict price before training our src/model.json

    > pnpm predict
    > milage: 200000
    > price: 0
    
  3. Train

    > pnpm train
    ===========================
    Theta0 :  8008.400720135726
    Theta1 :  -0.02144848806185557
    ===========================
    
  4. Prediction after train

    > pnpm predict
    > milage: 200000
    > price: 3718.7031077646125
    
  5. Visualization (React App localhost:8080)

    > pnpm bonus
    

    By changing the learning rate, you can observe how the gradient descent algorithm is performed.

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