Why this course?

What will you gain out of this course?

• Machine learning concepts
• How to code in a cloud environment and access data in cloud environment
• Simple and multiple linear regression
• Logistic regression
• Decision tree
• Random Forest
• XG Boost
• Supervised and Unsupervised Learning Algorithms
• How to go about an ML project

Description:

This program will cover all the three aspects related to machine learning - math, programming and application components. The program starts off with applied stats, where we discuss how various math and concepts are applied in machine learning. After this, we will discuss different machine learning algorithms with examples and case studies. 

Whether you a student or an experienced professional or a teacher, this program will help you to realize your career goals.

Pre-requisites:

Knowledge of basic python programming is essential for this course.