3.3 out of 5
18 reviews on Udemy

Introduction to Machine Learning with Case Study in Python

Understand concepts of least square regression and Hypothesis testing to our model like t-test, ANOVA, F-test, R square
Data Science Anywhere Team
5,283 students enrolled
English [Auto]
Least Square Regression
Build OLS in Statsmodel
Hypothesis Testing
t test
F Statistics
Degree of Freedom of the Model
Plotting Regression Line above the scatter plot (Fitted Values)
Predicting Results
Answer Question statistically

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 F-test

  • 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.

  • t-test for coefficient significance

  • ANOVA and F-test for model significance.

And finally, we answer the question statically. Hope we are seeing you inside the course !!!

You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
3.3 out of 5
18 Ratings

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1 hours on-demand video
1 article
Full lifetime access
Access on mobile and TV
Certificate of Completion
Introduction to Machine Learning with Case Study in Python
$34.98 $26


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