Data Science Tales

Machine Learning is not a difficult course but it is a bit different. And different things require different strategies to be conquered.  That is why we will devise some strategy to learn machine learning as a whole without getting bored... so without further ado, lets have a brief overview of what we are going to cover in this Course; Lecture Topics 1.                Introduction to Machine Learning 2.                Basic categories of Machine Learning 3.                Supervised Learning : 4.                Linear Regression part1 (Uni-variant) 5.                Linear Regression part 2 (Multi-variant) 6.                Polynomial Regression 7.                Logistic Regression 8.                Data fitting problems 9.                Neural Network 10.          Neural Network : Forward and back propagation 11.          Model Selection : Data splits