Machine Learning and Modeling Track: –
In this course, you will develop an understanding of the principles of machine learning and derive practical solutions using predictive analytics. you’ll learn about some of the most widely used and successful machine learning techniques. You’ll have the opportunity to implement these algorithms yourself, and gain practice with them. You will also learn some of practical hands-on tricks and techniques (rarely discussed in textbooks) that help get learning algorithms to work well. This is an “applied” machine learning Course, and we emphasize the intuitions and know-how needed to get learning algorithms to work in practice, rather than the mathematical derivations. At the end of course, you are going to work on large scale real-world project to emphasize all skills learned in all three course.
Module 1: Classification
Module 2: Regression
Module 3: Tree and Ensemble Methods
Module 4: Clustering and Recommenders
Module 5: Neural Networks
Module 6: Predictive Modeling
Module 7: Applied Machine Learning
Module 8: Capstone Project