TESS VU - MUSA 5080 PORTFOLIO
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WEEKLY NOTES
ALL NOTES
WEEK 1: COURSE INTRO
WEEK 2: DYPLR BASICS
WEEK 3: EXPLORATORY DATA ANALYSIS (EDA) & VISUALIZATION
IN-CLASS LAB 3
WEEK 4: SPATIAL DATA & GIS OPERATIONS IN R
IN-CLASS LAB 4
WEEK 5: PREDICTIVE MODELING WITH LINEAR REGRESSION
IN-CLASS LAB 5
WEEK 6: SPATIAL MACHINE LEARNING & ADVANCED REGRESSION
IN-CLASS LAB 6
WEEK 7: MODEL DIAGNOSTICS & SPATIAL AUTOCORRELATION
IN-CLASS LAB 7
WEEK 8: MIDTERM PROJECT
WEEK 9: CRITICAL PERSPECTIVES ON PREDICTIVE POLICING
IN-CLASS LAB 9
WEEK 10: SPATIAL MACHINE LEARNING & ADVANCED REGRESSION
IN-CLASS LAB 10
LABS
ALL LABS
LAB 1: CENSUS DATA
LAB 2: HEALTHCARE ACCESS AND EQUITY
LAB 3: MIDTERM PROJECT
LAB 4: SPATIAL PREDICTIVE ANALYSIS
LAB 5: SPACE-TIME PREDICTION OF BIKE SHARE DEMAND
MIDTERM PROJECT
MIDTERM PROJECT
MIDTERM SLIDES
MIDTERM APPENDIX
FINAL PROJECT
FINAL PROJECT
FINAL SLIDES
FINAL APPENDIX
30-DAY MAP CHALLENGE
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HOUSE PRICE PREDICTIVE MODEL
SLIDES
TECHNICAL APPENDIX
MIDTERM PROJECT
PHILADELPHIA PREDICTIVE HOUSING MODEL
Authors
Tess Vu
Ming Cao
Mark Deng
Jun Luu
Josh Rigsby
Alex Stauffer
HOUSE PRICE PREDICTIVE MODEL
SLIDES
TECHNICAL APPENDIX