DataScience_Project

Part I - Apply data handling and modeling skills to predict rent from StreetEasy Dataset, select the best classifier with ideal hyperparemeters.
Part II - Using external data and the object field of the original dataset to increase the performance of the model.

Name		Name	Last commit message	Last commit date
ExternalDF		ExternalDF
Helper		Helper
Model_Result_Part1		Model_Result_Part1
Practice_Analysis_Part1		Practice_Analysis_Part1
Predict_CSVFiles_Part1		Predict_CSVFiles_Part1
SearchModel_Part1		SearchModel_Part1
Visualization		Visualization
.DS_Store		.DS_Store
.gitignore		.gitignore
FinalModel_Demo.ipynb		FinalModel_Demo.ipynb
README.md		README.md
RF_visualization.ipynb		RF_visualization.ipynb
RandomForest_Prediction_TestSet2_Normalize.csv		RandomForest_Prediction_TestSet2_Normalize.csv
RandomForest_Prediction_TestSet3_withIncome_AVG.csv		RandomForest_Prediction_TestSet3_withIncome_AVG.csv
RandomForest_Prediction_TestSet3_withIncome_predA.csv		RandomForest_Prediction_TestSet3_withIncome_predA.csv
initial_findings.md		initial_findings.md
main.py		main.py
project_findings.md		project_findings.md
rf_predictions.png		rf_predictions.png
visualization.py		visualization.py

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