Project information
- Category: MLOps, Statistics
- Role: Collaborator
- Project date: April - May, 2023
- Project URL: Github Repository
Prediction of Hourly Bike Usage for Citi Bike Stations in New York City
Designed and implemented a comprehensive end-to-end Machine Learning pipeline for predicting hourly bike usage utilizing PySpark on the Databricks platform.
Conducted robust analysis on a dataset encompassing one million bike usage records, effectively integrating MLOps practices for continuous model retraining and performance enhancement.