Boston Housing- Linear Regression Project | Matplot| Seaborn | Multicollinearity | Autocorrelation

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In this video, we are going to do end to end machine learning project. After this project, you will have a good understanding of what is linear regression. I have covered the following topics:

Different kinds of plot in matplot and seaborn
Statistical analysis of the data.
Model building using SK-Learn and Stats model
what are the advantages of using either of the libraries for model building
Assumption of linear regression like Homoscadasticity, Auto-Correlation, and Multi-colinearity

Note: it is a lecture series, so make sure to subscribe to the youtube channel and press the bell icon for future updates.

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Thank you. It helped. Can u suggest me any tutorial on detail heterociducsticity & multicollinearity?

jobaidajarin
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link to notebook is not working. an you please provide notebook?

Abrar
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you use different graphs, but not able to understand how to use those graphs in data pre-processing, if possible please explain

nagakalyan
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Do i need to know python programming before starting this video

jiminslostjams