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Pavanmahaveer7 · Sep 30, 2023 · bcc066c · bcc066c
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+Problem:
+
+This project aims to predict the estimated price of a ride and demand of a uber cab given the factors like distance of the ride, surge multipliers, pick-up and drop location, weather and wind conditions, traffic and time of the commute.
+
+Aim:
+
+Fascinated by how rideshare companies predict fares based on distance, surge, location, weather, traffic.
+Curious about cab demand across Boston based on source and destination.
+
+Dataset:
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+693071 rideshare bookings in Boston from 11/26/2018 to 12/18/2018.
+57 features including time, cab type, geography, temperature, wind, weather.
+In summary:
+
+Motivated to analyze rideshare fare prediction and demand modeling.
+Utilized dataset of 700k+ rideshare trips in Boston with various contextual features.