Topic: "bike-sharing-demand-prediction"
Ganesh2409/Predict_Bike_Sharing_Demand
Bike-sharing demand is highly relevant to related problems companies encounter, such as Uber, Lyft, and DoorDash. Predicting demand not only helps businesses prepare for spikes in their services but also improves customer experience by limiting delays.
Language: Jupyter Notebook - Size: 1.34 MB - Last synced at: 5 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0
SadraDaneshvar/Bike_Sharing_Problem
Comprehensive exploration of the Bike Sharing Problem using advanced Machine Learning for demand forecasting and Mathematical Linear Optimization for strategic bike allocation. Includes detailed Jupyter notebooks covering model development, analysis, and optimization solutions.
Language: Jupyter Notebook - Size: 1.4 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
roissyahf/Bike-Sharing-Demand-Prediction
Predict Bike Sharing Demand using AutoGluon
Language: Jupyter Notebook - Size: 759 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
Praveen76/Bike-Sharing-Algorithm
"Bike-Sharing-Algorithm" optimizes bike-sharing systems through advanced algorithms. This project employs data-driven approaches to enhance bike distribution, availability, and user experience.
Language: Jupyter Notebook - Size: 2.55 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
GauravG-20/Bike-Sharing-Demand
This project aims to enhance the mobility and convenience of the public through bike-sharing programs in metropolitan areas. One of the main challenges is maintaining a consistent supply of bikes for rental.
Language: HTML - Size: 7.78 MB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
patricetg/udacity-aws-ml-fundamentals-p1
Predicting bike sharing demand with AutoGluon - Udacity AWS Machine Learning Fundamentals Nanodegree, project 1
Language: Jupyter Notebook - Size: 2.33 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
