The crux of the code is in the cost computation.
The hypothesis is our prediction vector.
The cost function
Now we need to minimize this cost function. For this we use gradient descent to minimize it. To find the local minima gradient descent takes a step in the greatest negative gradient in every iteration. The number of iterations.
You can find the source code on Github.
Or install it from npm “`npm install lineareg“`