Found 29 repositories(showing 29)
26amitdethe
Predicting California house prices using multivariable regression
AmirAbaskohi
This is an exercise of working with California House Prices in 2015 dataset. This code uses the most levels of implementing a model.
Rizwan-Beg
No description available
samratbabukc
No description available
phoenix0706
No description available
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Kevin29Johnson
No description available
DepressoLofi
No description available
sankethgadadinni
using Regressor models predicting house prices
No description available
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adittomahmood
No description available
anujathakar
This project demonstrates a basic regression task using the California housing dataset. The goal is to predict house prices based on features like number of rooms, population, and location-related attributes.
tejanidhi
No description available
thejclan
No description available
KushagraSinghog
This model predicts the price of the houses in california using xgb regressor model.
utkarshsen03
The model predicts the Median House Value(Price) of the houses in california by district.
No description available
VeereshElango
No description available
ekendra-yadav
End-to-end machine learning project for predicting California housing prices using regression models, feature engineering, and hyperparameter tuning.
the-sayan-karmakar
No description available
Priyapatil1612
No description available
parimalmahindrakar
No description available
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Sumanth0601
This GitHub project is a comprehensive data science and machine learning project focused on predicting housing prices in California. The project uses the California Housing dataset and employs various machine learning techniques to build predictive models.
Staneering
No description available
harshshah949494
This project is based on a Kaggle Practice Challenge of Predicting the median House Price in different regions of California
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