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CS109 Analyze Boston Environment And Housing Price

Jupyter Notebook 99.87% Batchfile 0.01% Python 0.06% C# 0.07%

cs109_analyzebostonenvironmentandhousingprice's Introduction

Built Environment Assessment Analytical hosing prediction model

with spatial observation in City of Boston

CS 109A Data Science, John A. Paulson School of Engineering and Applied Sciences Harvard University

Prof. Pavlos Protopapas, Kevin Rader, Weiwei Pan

##Website Link

Step 1 :Data Parsing

Parsing, clearing, and data structure

Step 2 :Data Exploration

Data Visualization and Exploration

Step 3 :Leraning Housing Price

Lasso, ridge, RandomForest Regression, and ETC

Step 4 :Leraning Renting Price

KNN, Lasso, ridge, RandomForest Regressor, PCA for Logistic Regression, Decision Tree, Random Forest Classifier, and ETC

Step 5 :Conclusion

the conclusion of the research

Team

Jia Gu, Harvard GSD, [email protected]

Eille Jungmin Han, Harvard GSD, [email protected]

NJ Namju Lee, Harvard GSD, [email protected]

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