GitHub / mayur200 / BoomBikeAssignment
The Bike-Sharing Demand Prediction Project aims to develop a predictive model to estimate the demand for shared bikes in the American market for BoomBikes, a bike-sharing provider looking to accelerate revenue post the Covid-19 pandemic. The project involves thorough data exploration and preprocessing.
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PURL: pkg:github/mayur200/BoomBikeAssignment
Stars: 0
Forks: 0
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 918 KB
Dependencies parsed at: Pending
Created at: almost 2 years ago
Updated at: almost 2 years ago
Pushed at: almost 2 years ago
Last synced at: over 1 year ago
Commit Stats
Commits: 3
Authors: 2
Mean commits per author: 1.5
Development Distribution Score: 0.333
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/mayur200/BoomBikeAssignment
Topics: boombikes, eda, linear-regression, machine-learning, machine-learning-algorithms, rfe, scikit-learn, statsmodels