Minerva Singh
HERE IS WHY YOU SHOULD ENROLL IN THIS COURSE:
Regression analysis is one of the central aspects of both statistical and machine learning based analysis.
This course will teach you regression analysis for both statistical data analysis and machine learning in Python in a practical hands–on manner.
It explores the relevant concepts in a practical manner from basic to expert level.
This course can help you achieve better grades, give you new analysis tools for your academic career, implement your knowledge in a work setting & make business forecasting related decisions…All of this while exploring the wisdom of an Oxford and Cambridge educated researcher.
Most statistics and machine learning courses and books only touch upon the basic aspects of regression analysis.
This does not teach the students about all the different regression analysis techniques they can apply to their own data in both academic and business setting, resulting in inaccurate modelling.
My course is Different; It will help you go all the way from implementing and inferring simple OLS (ordinary least square) regression models to dealing with issues of multicollinearity in regression to machine learning based regression models.
LEARN FROM AN EXPERT DATA SCIENTIST:
My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment) graduate. I also just recently finished a PhD at Cambridge University (Tropical Ecology and Conservation).
Instructor Details
Courses : 17
Specification: Python Regression Analysis: Statistics & Machine Learning
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23 reviews for Python Regression Analysis: Statistics & Machine Learning
Add a review
| Price | $17.99 |
|---|---|
| Provider | |
| Duration | 6.5 hours |
| Year | 2021 |
| Level | All |
| Language | English |
| Certificate | Yes |
| Quizzes | No |
$17.99
Mouni Ishaar –
I really like the focus on the practical implementation of the different regression techniques in Python. The package statsmodel was also covered in detail
Anthony Smith –
This is just about the only course that focuses on Python based regression analysis from a stats and ML point
Claire Philippeau –
Very good, excellent!
Jon –
Probably the best statistical course using python on udemy.
Christopher Cunnyngham –
The best specific coverage I’ve found for implementing linear regression in Python. The statistics review is superficial and better options are available, but frankly you should have a good foundation in basic descriptive statistics and some idea about inferential statistics before coming to this course. If you’re looking for straight forward application and coding for LR in Python, this is the best Udemy course I’ve found.
Manas Shukla –
Poor production. At many points the screen recording is clipped while the lecturer talks about something relevant placed off screen. Course content (files provided in zip archive) do not match up with either the section of the course or even the course section that is show in the screen recording. Actual content is ok, but requires a lot of effort to make up for shortcomings. At certain points there is a pop up message on the instructor’s screen that is never dismissed, effectively hiding what is being taught. Kind of a big deal since this course is entirely a series of videos without accompanying documentation.
Peter Khayat –
straight to the useful point
Anil Kumar Pandey –
It is useful for me
David Sadeli –
Overall pretty good, although some topics seemed to be only mentioned briefly. There are also some inconsistencies and skips between the lecture speech and presentations.
Mohammad Khadeer Akbar –
Very useful for Data Science
Selvia Jain –
Its easily the best resource on Python regression
Dr. Beena B.M. –
Yes
Verna Maldeni –
This course is an excellent match for me!
Fereira Colt –
I’m so thankful that Minerva is so knowledgeable and teaching me what I need to know !!!
Adam Strong –
Very good practical statistics in python course. Liked the explanation and the pace.
Kamil Sans –
After I get in the course I’ve got a better understanding of what those codes means. Thanks!
Pattara Tepnu –
It is very good to explain about Pandas & Regression
Paolo Caputo –
Explanations are lengthy and without the necessary amount of useful information. There are no exercises. The course material is awfully organised and not helpful. I just enrolled in a course on the same topic and the difference is significant. I strongly advise against this course.
Jo Johnny –
Slow but thorough
Greta Wong –
Very good Python based course on regression analysis
SHRUTI IYER –
Not what I expected. I thought it would go deeper into Python for statistical analysis, however the course is just a rundown of what code is already on the scree without appropriate explanation.
Reynold Lord –
She does a great job explaining Python for people new to Python. Very impressed.
Ashwani –
Informative & outstanding course