/UmojaHack_Algeria_Yassir_ETA_Prediction_Challenge

My Team Solution to UmojaHack Algeria: Yassir ETA Prediction Challenge

Primary LanguageJupyter Notebook

UmojaHack Algeria: Yassir ETA Prediction Challenge

My Team Solution to UmojaHack Algeria: Yassir ETA Prediction Challenge

Established in 2017, Yassir is the leading ride-hailing company in Algeria. It covers all major Algerian cities and is expanding its services to Tunisia, Morocco and France. Besides ride-hailing services, Yassir is making customers’ lives easier by providing diversified services such as goods and food delivery as well as telemedicine.

Ride-hailing apps like Uber and Yassir rely on real-time data and machine learning algorithms to automate their services.

The objective of this hackathon is to predict the estimated time of arrival at the dropoff point for a single Yassir journey.

Our SolutionS

Our solution was based on XGBOOST model, and on creating new features using the provided data. The New York City Taxi Trip Duration on Kaggle was a great inspiration since the problem is similar.