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Predictive machine learning model with 79 explanatory variables describing (almost) every aspect of residential homes in Ames, Iowa.

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AvichalS/House-Pricing-Model

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.gitignore

.gitignore

 
 

LICENSE

LICENSE

 
 

README.md

README.md

 
 

data_description.txt

data_description.txt

 
 

house_price_prediction.py

house_price_prediction.py

 
 

random_forests_validation.py

random_forests_validation.py

 
 

result.csv

result.csv

 
 

test.csv

test.csv

 
 

train.csv

train.csv

 
 

underfitting_and_overfitting.py

underfitting_and_overfitting.py

 
 

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House-Pricing-Model

Predictive machine learning model with 79 explanatory variables describing (almost) every aspect of residential homes in Ames, Iowa.

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Predictive machine learning model with 79 explanatory variables describing (almost) every aspect of residential homes in Ames, Iowa.

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machine-learning random-forest sklearn seaborn xgboost matplotlib decision-trees random-forest-regressor regression-analysis underfitting-overfitting

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