demand-prediction
There are 17 repositories under demand-prediction topic.
Knowledge-Precipitation-Tribe/Spatio-Temporal-papers
This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc.
callicoder/ML-Demand-Prediction
Machine Learning Model for Order Demand Prediction based on historical Order data - Built for Swiggy Hackathon 2018
anafisa/NYC-Taxi-Demand-Prediction
The primary objective of this project is to build a Real-Time Taxi Demand Prediction Model for every district and zone of NYC.
kc-codes/Urban-Mobility-Solution
Integrated real-time data analytics for optimized public transport, innovative road monitoring using demand prediction, and conditioning tech for sustainability, real time pothole detection either by image or video, smart parking count system for efficiency using AI/ML.
RozhanMk/Taxi-demand-prediction
this repository contains main project of Rahnema college machine learning bootcamp
meredithmurfin/DynamicPlacementGenerator
A spare engine placement generator based on a Finite-Horizon Markov Decision Process
KelvinLam05/demand_prediction
Using machine learning methods to predict demand for bike sharing.
mamomen1996/R_CS_11
TimeSeries Analysis in R
exelero565/Project_5
определить характеристики и с их помощью спрогнозировать длительность поездки такси
jlopez873/Rideshare_Modeling
This repository contains the code and data for a project focused on improving the prediction accuracy of rideshare demand in New York City during the Covid-19 pandemic.
KoichiKuriyama/IPEV
Integer Programming Extreme Value Model
meredithmurfin/StaticPlacementGenerator
A default spare engine placement generator
panambY/Store_Item_Demand
The objective is to predict 3 months of item-level sales data at different store locations.
jamestiotio/sentiENTERPRIZE
An Enterprize of Sentient Enterprise
kozodoi/DSG_2017_Round2
Solution to the Data Science Game 2017 competition (final stage)
vani89570/BIKE_SHARING_DEMAND_PREDICTION_Capstone_Project
This project builds a predictive model to forecast bike-sharing demand based on various environmental and seasonal factors. By applying machine learning algorithms, the model helps optimize bike availability and improve user experience by anticipating peak demand periods.