Skip to content

Classification, Multiple Linear Regression, Lasso, Ridge, ElasticNet Regression Modelling, Random Forest, PCA, Feature Engineering, Metric

Notifications You must be signed in to change notification settings

vyap2000/Project-3

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

7 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Project 3

Title: Regression and Classification with the Ames Housing Data

Business Case:

You have just joined a new "full stack" real estate company in Ames, Iowa. The strategy of the firm is two-fold:

Own the entire process from the purchase of the land all the way to sale of the house, and anything in between.

Use statistical analysis to optimize investment and maximize return.

The company is still small, and though investment is substantial the short-term goals of the company are more oriented towards purchasing existing houses and flipping them as opposed to constructing entirely new houses. That being said, the company has access to a large construction workforce operating at rock-bottom prices.

This project uses the Ames housing data recently made available on kaggle.

https://www.kaggle.com/c/house-prices-advanced-regression-techniques

About

Classification, Multiple Linear Regression, Lasso, Ridge, ElasticNet Regression Modelling, Random Forest, PCA, Feature Engineering, Metric

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published