Introduction to Machine Learning with Case Study in Python
Requirements

Understanding Statistics

Beginner to Python
Description
In this course, you will learn concepts of linear regression. Starting from
 Case Study on Big Mac
 Statistical Questions
 Least Square Regression
 Hypothesis testing: t test
 ANOVA and Ftest
 Correlation
 R Square
You will learn the approaches towards regression with case study. First we start with understanding linear equation and the optimization function value sum of squared errors. With that we find the values of the coefficient and makes least square regression. Then we starts building our linear regression in python.
For the model we build we necessary test like hypothesis testing.
 ttest for coefficient significance
 ANOVA and Ftest for model significance.
And finally, we answer the question statically. Hope we are seeing you inside the course !!!
Who this course is for:
 Beginner of Python Developer who want to learn Data Science
 Solving question related to linear regression
https://www.udemy.com/course/linearregressionwithcasestudyinpython2020/