WPI CS534 Term Project - Lyft Motion Prediction for Autonomous Vehicles where we build motion prediction models for self-driving vehicles
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Updated
May 28, 2021 - Jupyter Notebook
WPI CS534 Term Project - Lyft Motion Prediction for Autonomous Vehicles where we build motion prediction models for self-driving vehicles
This repository contains the code for the Lyft Back-End Engineering VEP
Developing semantic segmentation algorithms for Lyft Challenge using Tensorflow
Investigated Lyft riders’ data set, by performing data wrangling, conducting exploratory data analysis, and building statistical machine-learned model, using python packages, to determine KPIs, that guide riders’ cancellation decision
Data Analysis using Unsupervised Learning on Lyft dataset
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