Housing-Prices-Advanced-Regression-Techniques and House-Prices-Advanced-Regression-Techniques
Both tools are competitors, as they are separate Kaggle notebooks exploring similar housing price prediction problems using advanced regression techniques, offering alternative implementations rather than complementary functionalities or an integrated ecosystem.
Maintenance
0/25
Adoption
6/25
Maturity
9/25
Community
17/25
Maintenance
0/25
Adoption
5/25
Maturity
9/25
Community
13/25
Stars: 17
Forks: 8
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 9
Forks: 2
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stale 6m
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Stale 6m
No Package
No Dependents
About Housing-Prices-Advanced-Regression-Techniques
tatha04/Housing-Prices-Advanced-Regression-Techniques
This notebook explores the housing dataset from Kaggle to predict Sales Prices of housing using advanced regression techniques such as feature engineering and gradient boosting.
About House-Prices-Advanced-Regression-Techniques
sidharth178/House-Prices-Advanced-Regression-Techniques
The objective of the project is to perform advance regression techniques to predict the house price in Boston.
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