Week #2 - Linear Regression model

The review of the liner regression models in the context of machine learning and the usage of gradient descent method.

Learning objectives:

• Understand and explain the objective function in linear regression, including its mathematical formulation and underlying rationale.
• Master both the closed-form solution and gradient descent approach for linear regression, including their mathematical derivations.
• Demonstrate proficiency in expressing linear regression solutions using matrix and vector operations.
• Explore how linear regression can model nonlinear relationships through the application of feature maps.
• Implement and compare closed-form and gradient descent solutions for linear regression using Python, emphasizing practical coding skills and algorithmic understanding.

Laboratory

https://classroom.github.com/a/5B0qAInA