Machine Learning with Ridge and Lasso Regression
One of the most common problems every data scientist faces when training machine learning models is overfitting—overcomplicating the model with irrelevant data, thereby reducing the model’s predictive and classification capabilities. This is where the regularization techniques -ridge and lasso come to the rescue, as they simplify the model and remove all the data noise. In these free pdf course notes, we will cover the basic concepts behind regression analyses, ridge vs lasso regression, cross validation for choosing a tuning parameter and relevant metrics for evaluating the model’s performance.
Ivan ManovCourse Author Linkedin profile
Who is it for
Machine Learning Engineers, Data Scientists, Data Engineers and anyone who is interested in building high-performing machine learning models will benefit from the information provided in these free course notes.
How it can help you
Whenever you are testing a machine learning algorithm an inevitable problem you will encounter is overfitting and multicollinearity which greatly reduce the predictive accuracy of the model. By studying these course notes you will know how to combat this issue and evaluate the effectiveness of the solution.
Join 2M Students and Start Learning from the best
The 365 Data Science program is great for beginners. It gives in-depth knowledge and clears every concept. After every lecture, some exercises are given for students to complete for practice, and solutions also. I would highly recommend this program to everyone who wants to be a data scientist and brush up their skills.
The 365 Data Science course is outstanding, it has an outstanding interface and awesome courses from a basic to an advanced level. I really appreciate the quality of the material and the content of this Data Science course!! Thanks to the 365 Data Science team!
The 365 Data Science program was excellent. It does meet my expectations 100%. I do thank the 365 Data Science Team for putting this great work together in one package & with a very reasonable price. Hands down, you are the best! Please, keep this great work up!