Bike Sharing Demand Prediction ML Frameworks
Machine learning projects for forecasting bike rental/sharing demand using regression, time-series, and ensemble methods. Does NOT include general transportation prediction, travel mode classification, or non-demand urban mobility analysis.
There are 26 bike sharing demand prediction frameworks tracked. The highest-rated is ChaitanyaC22/Udacity-AWS-MLE-ND-Project1-Bike-Sharing-Demand-with-AutoGluon at 28/100 with 7 stars.
Get all 26 projects as JSON
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| # | Framework | Score | Tier |
|---|---|---|---|
| 1 |
ChaitanyaC22/Udacity-AWS-MLE-ND-Project1-Bike-Sharing-Demand-with-AutoGluon
This project focuses on using the AWS open-source AutoML library, AutoGluon,... |
|
Experimental |
| 2 |
rameerez/bicimad-data-analysis
🚲 BiciMAD - Data analysis + ML usage predictions of Madrid's public bike system data |
|
Experimental |
| 3 |
bnarasimha21/bike-rental-prediction
Machine learning model for bike rental demand forecasting |
|
Experimental |
| 4 |
bnarasimha21/bikeshare-api
REST API for bike-sharing data analysis and predictions |
|
Experimental |
| 5 |
bnarasimha21/bikeshare-project
Data analysis and ML project for bike-sharing demand prediction |
|
Experimental |
| 6 |
felipelodur/Bike-Sharing-Prediction-with-NeuralNet
Developed as coursework for Udacity "Deep Learning Fundamentals" Nanodegree |
|
Experimental |
| 7 |
asashin6761/Seoul-Bike-Sharing-Demand-Predictor
🚲 Predict bike rental counts in Seoul using regression models to enhance... |
|
Experimental |
| 8 |
nathanmarinas2/bicicoruna-fleet-optimization
End-to-End optimization system for BiciCoruña bike-sharing network using... |
|
Experimental |
| 9 |
FranusCode/bike-sharing-demand-analysis
Analiza popytu na rowery miejskie w języku R. Wykorzystanie drzew... |
|
Experimental |
| 10 |
zoltanjelovich/citi-bike-demand-forecasting
Supplementary appendices and Jupyter notebooks supporting a master’s... |
|
Experimental |
| 11 |
Aniket-Thopte/Demand-Forecasting-Public-Bike-Rental-Predictive-Modeling-
Developed multiple predictive models with 90% accuracy for forecasting the... |
|
Experimental |
| 12 |
oyvinds78/trondheim-bus-ridership-prediction
Machine learning pipeline for predicting hourly bus ridership in Trondheim,... |
|
Experimental |
| 13 |
NicolasLasch/Bergen_Bike_Analysis
Production-ready machine learning project that forecasts bike demand at... |
|
Experimental |
| 14 |
rabotnev/NYCCitiBikeShare
Citi Bike NYC Trip Data Analysis Using Apache Spark |
|
Experimental |
| 15 |
techbless/public-bike-predictor
🚲서울시 공공자전거 따릉이의 미래 재고수를 예측합니다. |
|
Experimental |
| 16 |
brendadenisse16/Predicting-Travel-Mode-Choices-with-Logistic-Regression-and-SVM
Machine learning models for travel mode prediction, using logistic... |
|
Experimental |
| 17 |
voidirl/travel-time-prediction-system
predicts travel time using ML techniques based on distance and speed data,... |
|
Experimental |
| 18 |
williamsaether/BikeFit
Bike Fitting Webapp with Deep Learning model - by @williamsaether & @omegeland |
|
Experimental |
| 19 |
MalongaFructueux/tracker-velib-paris
🚴 Visualize real-time availability of Vélib' bike stations in Paris, showing... |
|
Experimental |
| 20 |
sergey-kasatov/vehicle-silhouette-ml
Vehicle silhouette classification (supervised + clustering + PCA) — ML case study |
|
Experimental |
| 21 |
divyanshu-agwekar/Transport-Demand-Prediction
Transport Demand Prediction using Linear Regression | Machine Learning Project |
|
Experimental |
| 22 |
raymondLi003/Bayesian-CitiBike-Prediction
Bayesian logistic regression for predicting NYC CitiBike trip destinations,... |
|
Experimental |
| 23 |
ArmanMaghsoudi/Transportation-Planning-Project
Seoul Bike-Sharing Optimization: A data-driven framework for urban mobility.... |
|
Experimental |
| 24 |
daniau23/motor_vehicle_thefts_analysis
An analysis of vehicle thefts |
|
Experimental |
| 25 |
vinodbavage31/bike-rental
Predictive model for daily bike rental demand. Utilizes EDA and a Tuned... |
|
Experimental |
| 26 |
tushar2704/Seoul-bike-trip-duration
This repository contains the code and resources for predicting the duration... |
|
Experimental |