This course is for undergraduates and working peofessionals. Regardless of which stream you are in or which domain you are working in, this course will be very very useful in upgrading your career.

Syllabus:-

1. Python for data science

2. Basics of ML

3. Classification algorithms

4. Regression algorithms

5. Clustering

6. Decision Tree

7. Random Forest

8.Three guided projects that you can show in your CV

9. Advanced Mathematics

10. Introduction to Neural Networks

11. Forward propagation

12. Backward propagation

13. Coding with Python.

Thiz course is different from other ML courses available online because they mostly teach only the algorithms and do not break down the maths involved behind it. Therefore, I have designed the course in such a manner that even the noobs will be able to grasp the advanced level algorithms of Data Sciences. We will also be working upon data preparation processes which include fetching data, normalizing, standardizing datasets. Altogether it is going to be a great learning experience.