Basic Statistics & Regression for Machine Learning in Python

Hello and welcome to my new course Basic Statistics and Regression for Machine LearningYou know.. there are mainly two kinds of ML enthusiasts. The first type fantasize about Machine Learning and Artificial Intelligence. Thinking that its a magical voodoo thing. Even if they are into coding, they will just import the library, use the class and its functions. And will rely on the function to do the magic in the background.The second kind are curious people. They are interested to learn what's actually happening behind the scenes of these functions of the class. Even though they don't want to go deep with all those mathematical complexities, they are still interested to learn what's going on behind the scenes at least in a shallow Layman's perspective way. In this course, we are focusing mainly on the second kind of learners. That's why this is a special kind of course. Here we discuss the basics of Machine learning and the Mathematics of Statistical Regression which powers almost all of the the Machine Learning Algorithms. We will have exercises for regression in both manual plain mathematical calculations and then compare the results with the ones we got using ready-made python functions.Here is the list of contents that are included in this course. In the first session, we will set-up the computer for doing the basic machine learning python exercises in your computer. We will install anaconda, the python framework. Then we will discuss about the components included in it. For manual method, a spreadsheet program like MS Excel is enough.Before we proceed for those who are new to python, we have included few sessions in which we will learn the very basics of python programming language. We will learn Assignment, Flow control, Lists and Tuples, Dictionaries and Functions in python. We will also have a quick peek of the Python library called Numpy which