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[EXE] Predicting house prices

Open Damanpreet opened this issue 5 years ago • 2 comments

Learning Goals

PCA, Linear Regression, Lasso Regression, Ridge Regression, Elastic Net and Gradient Boosting Technique

Exercise Statement

Predicting house pricing by using advanced regression techniques. Using PCA for feature selection.

Prerequisites

Know the basics of each concept stated in learning goals.

Data source/summary:

Kaggle.

Damanpreet avatar Oct 08 '20 09:10 Damanpreet

Hi @Damanpreet thanks ! This seems cool. Since we already had regression projects on housing prices, it'd be cool to focus on PCA and gradient boosting technique.

Another good thing is to discuss in depths regularization, if that's something you want to do.

Thanks !

gimseng avatar Oct 08 '20 11:10 gimseng

@gimseng Thanks for your suggestion, will also try that out!

Damanpreet avatar Oct 08 '20 20:10 Damanpreet