Why this course?

Description:

This self paced program will cover all the three aspects related to machine learning - math, programming and application components in detail. 

1. Artificial Intelligence and Python Programming: This course covers the concepts and introduces python programming. This is the basic on which the other two courses are built.

2. Machine Learning: This course covers supervises and unsupervised algorithms. Each algorithm is explained using a case study covering multiple industries.

3. Exploratory Data Analysis (EDA): EDA is done before you deploy your machine learning models. Multiple techniques have been covered in EDA.

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

Pre-requisites: None