Ridge Regression Vs Lasso: Compare How They Work?

As machine learning evolved, the conventional way of solving problems observed a diminishing shift. ML offered novel ways to tackle real-world problems with its methods and algorithms. With ML providing the ability for computers to learn from data, the problem could be analysed with different perspectives quickly. ML takes account of the optimisation technique in linear programming. This means that ML is generally considered as an optimisation problem. Concepts such as regression help with establishing a relationship between the vast amounts of data required for learning. In this article, we will analyse two extensions of linear regression known as ridge regression and lasso, which are used for regularisation in ML. How Regression Analysis Impacts ML Regression is basically a math