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📈 Linear Regression with TensorFlow.js and p5.js

This project combines the power of the TensorFlow.js library for machine learning with the interactive visualization capabilities of the p5.js library.

🚀 Features

  • Interactive Points: Click on the canvas to add points dynamically.
  • Real-time Adjustment: The program employs linear regression to fit a line to the points, adjusting in real-time as more points are added. This results in changes to the slope and y-intercept to minimize the distance to all points.

🎨 Visualization

  1. Linear Regression Demo-Linear-Regression
  2. Polynomial Regression Demo-Polynomial-Regression

🛠️ How to Run

  1. Clone the Repository:

    git clone https://github.com/priyanshu1044/Linear-Regression.git

  2. Navigate to the Repository:

    cd Linear-Regression

  3. Open the HTML file:

    • Double-click the HTML file to open it in your default browser.
    • Alternatively, use a local server if you have one set up.

📦 Dependencies

  • TensorFlow.js: A JavaScript library for training and deploying ML models in the browser and on Node.js.
  • p5.js: A JavaScript library that makes coding accessible for artists, designers, educators, and beginners.