Ridge and Lasso Regression Hello! Today we will be exploring two different regression algorithms called Ridge Regression and Lasso Regression which are similar to how Linear Regression works. Before we get into how Lasso and Ridge regression models work, you need to understand what is meant by the term 'overfitting'. Overfitting: Overfitting refers to training the model too well by the training data. For example, the indicator that your model is overfitting could be when the total cost of your model by the training data is zero and the cost for your test data is huge. As a result, this could negatively affect your model as it's unable to predict accurately for your testing data. I will be exploring more about the concept of overfitting and underfitting in future posts Ridge Regression: Like I said at the beginning of this post, the Lasso regression model is very similar to how the Linear regression model works. As some of you may already know...