AI has enabled us to develop machine learning algorithms that learn from patterns in the data to make predictions and help organizations make informed decisions and optimize their business workflow.

This course uses a hands-on approach to introduce core algorithms that are considered a workhorse in the field of data science and business machine learning. Along with business statistics, you’ll learn the working principles behind these algorithms and how they can be tuned for improved performance. You’ll also explore a range of metrics to evaluate the predictive power of your trained algorithms. In this course, you’ll explore strategies to find the best parameters and learn how to use SHAP and LIME approaches to increase the explainability of your trained model.

By the end of this course, you’ll be able to implement a complete process pipeline to build customized machine learning solutions for organizations.