mahmoudsallem/house-prices-regression-

predict the price of house

Kaggle - House Prices: Advanced Regression Techniques

With 79 explanatory variables describing almost every aspect of residential homes in Ames, Iowa, this competition challenges the data science community to predict the final price of each home.

Data

train.csv: 1460 houses with 81 attributes, including the labels (sale prices)
test.csv: 1459 houses with 80 attributes
data_description.txt: full description of each column of the csv files

Results

Feature engineering and a solution using Kernel Ridge regression are shown in Kernel_Ridge.ipynb.

Required libraries

• NumPy
• Pandas
• scikit-learn
• scipy
• seaborn
• matplotlib
• XGBoost

Reference

House Prices: Advanced Regression Techniques