Linear Regression Visualizer
Predict the value of a dependent variable based on an independent variable using the Least Squares method and Gradient Descent.
Click on the canvas to add custom data points.
📜 Learning Equation
y = 0x + 0
Ready. Add points and click 'Train' to see the line learn.
📉 Loss (MSE)
0.0000
Goal: Minimize the Mean Squared Error.
💡 How it works
1. Start with random m (slope) and c (intercept).
2. Calculate the Loss (difference between line and points).
3. Use Gradient Descent to nudge m and c in the direction that reduces error.