47 - Multiple Linear Regression with SciKit-Learn in Python

In the previous video I've explained the concept of linear regression where a single independent variable (X) was used to model the dependent variable (Y). In reality, multiple independent factors (variables) may influence the response. This tutorial explains the use of regression to model single independent variable using multiple dependent variables.
The code from this video is available at: github.com/bnsreenu/python_fo...

[@jamesdean9061]

Clear and focused presentation. Thanks!

[@surflaweb]

Thanks sir.

[@viquarsyed1663]

Hi, what editor have you used in your tutorial. I love the intellisence and is a great help.

[@DigitalSreeni]

Anaconda Spyder.

[@sathishkumarpalani9511]

sir, you kindly take some image as example then convert into csv file so we can do analyses, but i have few doubt for example cardiology image how we convert into csv? how we separate number of features and target ? I can understand analysis part only issue is that conversion image into csv file. kindly give example or reference book, videos Thank you

[@chestermabulela2156]

I was trying to predict for one dataset with 7 independent variable,but when I try to fit a model it says 'AxesSubPlot' object is not subscriptable

[@DigitalSreeni]

This has nothing to do with linear regression. Looks like a matplotlib error where you are trying to plot multiple plots.

[@piyushojha9456]

How about checking errors in Multi-linear regression, if you can plz throw some light on this, Sir?

[@DigitalSreeni]

Just use MSE, similar to linear regression.

[@pawanarora1985]

hello sir, I am interested in online classes. can you please confirm, if you have online session from beginning to advance python?

[@DigitalSreeni]

Well, aren't these online classes? If you are looking for live classes with personalized help then I do not do that. I record videos to help others get started with python but I do not do personalized classes.