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anushkasaxena07
Objective: Predict the duration of taxi trips in NYC accurately.
Data: Utilize a dataset containing information such as pickup/dropoff locations, timestamps, distance, and passenger count.
Modeling: Implement regression techniques such as Multiple Linear Regression, Decision Trees, Random Forests, and Gradient Boosting to train predictive models.
Evaluation: Assess model performance using metrics like Mean Squared Error (MSE) and Root Mean Squared Error (RMSE).