Start-Tech Academy
You’re looking for a complete Linear Regression course that teaches you everything you need to create a Linear Regression model in Python, right?
You’ve found the right Linear Regression course!
After completing this course you will be able to:
Identify the business problem which can be solved using linear regression technique of Machine Learning.
Create a linear regression model in Python and analyze its result.
Confidently practice, discuss and understand Machine Learning concepts
A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning basics course.
How this course will help you?
If you are a business manager or an executive, or a student who wants to learn and apply machine learning in Real world problems of business, this course will give you a solid base for that by teaching you the most popular technique of machine learning, which is Linear Regression
Why should you choose this course?
This course covers all the steps that one should take while solving a business problem through linear regression.
Most courses only focus on teaching how to run the analysis but we believe that what happens before and after running analysis is even more important i.e. before running analysis it is very important that you have the right data and do some pre–processing on it. And after running analysis, you should be able to judge how good your model is and interpret the results to actually be able to help your business.
Instructor Details
Courses : 14
Specification: Complete Linear Regression Analysis in Python
|
17 reviews for Complete Linear Regression Analysis in Python
Add a review
| Price | $14.99 |
|---|---|
| Provider | |
| Duration | 7.5 hours |
| Year | 2022 |
| Level | All |
| Language | English |
| Certificate | Yes |
| Quizzes | Yes |
$14.99
Arturo Mark Chura Noriega –
Buen curso, no solo para empezar a hacer regresiones en Python, sino para aprender los conceptos b sicos del lenguaje. Se podr a mejorar poniendo los c digos en algun archivo para poder descargarlo.
Karthik –
happy listen my native accent ….. going on good… outlier treatment needs to be elaborated will surely have to revise the whole multiple times..please do not give gaps during the courses….theory is more but managable…need to do a practical problem to understand better…explanation was good and worth taking up the cousre… 🙂
Km Singh –
For beginners like me, the python crash course is a great thing to have in the starting of the course. Clear instructions.
Ajeet Bisht –
good course it would more excerise
Abhishek –
Concepts are clearly taught. Shared resources also make it easy to follow the lectures and revise later on
Ruman KC –
This course was fun to pursue. Learned really important skills.
Antin Disoza –
Prepare one separate course on ‘Data Preprocessing’ and include all the detail of preprocessing into it.
Md. Sheikh Farid –
it’s good
HP Learner –
Good introductory course to Machine Learning. It is true that a lot of the time is spent in setting up the data. This course covers how to do that too. Well done
Mabrouka Salmi –
Very informative way for teaching, like the course takes you through the theoretic basic than the application in python and this for each element. i find it useful specially for beginners.
M. Chandra Nugraha –
good course
Muhammed Tahir Muhammed –
I am really enjoying this lecture
Siddharth jain –
Theoretical explanation could have been better. Throughout the course I struggled to make connection between theory and the practical info.
Kirtiman Singh –
cccc
Neider Isidro Neme Virguez –
excelente tematica y modelo de trabajo
Abhiraj Das –
Good course to start your Data science journey
Olufunmilayo Aforijiku –
a very good match. I love it