An Optimized Spatiotemporal Encoder-Decoder Neural Network for Ride-Sourcing Demand Prediction
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Updated
Oct 8, 2022 - Python
An Optimized Spatiotemporal Encoder-Decoder Neural Network for Ride-Sourcing Demand Prediction
Stateful spatial-temporal traffic forecasting pipeline. Reached a verified score of 92.31 and next-round shortlist in the Flipkart GRId 2.0 ML competition.
Traffic Demand Prediction solution for Flipkart Gridlock 2.0 using CatBoost, feature engineering, and 5-fold cross-validation. Achieved a public leaderboard score of 89.11.
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