GitHub - abeckerman2/W210_HomeVision: Predict US single home value properties based on property and regional level features using a predictive machine learning model.

Our goal is to predict US single home value properties based on property and regional level features using a predictive machine learning model. We incorporated key variables to consider when investing in real estate market as well as “curb appeal” through the use of images.

Name		Name	Last commit message	Last commit date
Latest commit History 21 Commits
data		data
models		models
presentation		presentation
Baseline (Predict mean price for each zipcode) (1).py		Baseline (Predict mean price for each zipcode) (1).py
Baseline(Predict mean price overall).py		Baseline(Predict mean price overall).py
EDA File #1.py		EDA File #1.py
GBM_w_Images_v23.7.16.py		GBM_w_Images_v23.7.16.py
GBM_w_Images_v23.7.21.py		GBM_w_Images_v23.7.21.py
GradientBoosting_Model_alternative.py		GradientBoosting_Model_alternative.py
HomeVision Final Presentation.pdf		HomeVision Final Presentation.pdf
Light_GBM_Model Zip Code.py		Light_GBM_Model Zip Code.py
Light_GBM_Model_.py		Light_GBM_Model_.py
Light_GBM_Model_Top_Features.py		Light_GBM_Model_Top_Features.py
Light_GBM_Model_alternative.py		Light_GBM_Model_alternative.py
README.md		README.md
Trulia_Image_Downloader.py		Trulia_Image_Downloader.py
XGBoost_Model (with lasso) and feature importance.py		XGBoost_Model (with lasso) and feature importance.py
XGBoost_Model (with lasso) and feature importance_alternative.py		XGBoost_Model (with lasso) and feature importance_alternative.py
XGBoost_Model (with lasso) with Zip Code.py		XGBoost_Model (with lasso) with Zip Code.py
XGBoost_Top_Features.py		XGBoost_Top_Features.py
data_cleaned_filtered.csv		data_cleaned_filtered.csv
data_cleaned_filtered_by_img.csv		data_cleaned_filtered_by_img.csv
download_google_maps.py		download_google_maps.py

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