Project_Session: Active
Case Study Analysis
NYC Taxi Fare Prediction
A comprehensive analysis of NYC Taxi data to build a predictive model for fare amounts and evaluate map-based A/B test variants.
Validation Metrics
Model Accuracy (R^2)
Model Accuracy (R^2): 0.87
Prediction Error Reduction
Prediction Error Reduction: 18%
Trips Analyzed
Trips Analyzed: 2.5M
Revenue Uplift (Simulated)
Revenue Uplift (Simulated): 6.4%
Capstone Project
Capstone Project: 1
Feature Engineering Pipeline
Feature Engineering Pipeline: 12+