ultraviolet33 / machine-learning

A basic machine learning program

Machine-Learning with Python

This is a basic machine learning program to create a model f(x) = ax + b or y = ax + b from datasets of y as a function of x.

1) Datasets

The datasets used are created thanks to the make_regression() function from the scikit-learn library.

2) Model

Then we create a random model. This is not a good model. There are a lot of errors. Our work is to find a model with a minimun of errors.

3) Cost Function

We create the cost function which calculates the sum of the errors of the model.

4) Gradient and gradient descent

We use the gradient descent method to minimize the cost function.

5) Action

Then we calculate the right model.

And this is it !

I did it for fun !