Implement Gradient Descent with Linear Regression Model

Author(s): Flo

Originally published on Towards AI.

Predicting salary based on years of experience

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This article illustrates how to build in less than 5 minutes a simple linear regression model with gradient descent. The goal is to predict a dependent variable (y) from an independent variable (X).

We want to predict salaries given years of experience.For that, we will explain a few concepts (Gradient descent, Linear model) and code 4 functions:

Predict function: To predict a salary from years of experience. (We found the best coefficients, B0 and B1, thanks to the gradient descent).Cost function: It allows the visualization of the cost errors to each iteration. It uses mean squared error (the difference… Read the full blog for free on Medium.

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Published via Towards AI