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GitHub topics: demand-prediction

johnmars-prog/original-dataset

This repository contains an Excel-based dataset of original daily/monthly sales data intended for use in time series forecasting tasks. The dataset is suitable for training LSTM (Long Short-Term Memory) models and benchmarking forecasting performance.

Size: 216 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

sngr0x0/DEPI-Project

DEPI Project - Sales Forecasting and Demand Prediction

Language: Jupyter Notebook - Size: 22.3 MB - Last synced at: 4 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

callicoder/ML-Demand-Prediction

Machine Learning Model for Order Demand Prediction based on historical Order data - Built for Swiggy Hackathon 2018

Language: Python - Size: 3.87 MB - Last synced at: about 2 months ago - Pushed at: almost 7 years ago - Stars: 26 - Forks: 19

zahramh99/dynamic-pricing-strategy

Dynamic Pricing is an application of data science that involves adjusting the prices of a product or service based on various factors in real time. It is used by companies to optimize revenue by setting flexible prices that respond to market demand, demographics, customer behaviour and competitor prices.

Language: Python - Size: 33.2 KB - Last synced at: 9 days ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

DrSquare/ML-Demand

ML Demand Project Folder

Language: Jupyter Notebook - Size: 2.73 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

RozhanMk/Taxi-demand-prediction

this repository contains main project of Rahnema college machine learning bootcamp

Language: Jupyter Notebook - Size: 22.4 MB - Last synced at: 2 months ago - Pushed at: almost 2 years ago - Stars: 4 - Forks: 2

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.

Language: Jupyter Notebook - Size: 201 KB - Last synced at: 8 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

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.

Language: Python - Size: 24.4 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

exelero565/Project_5

определить характеристики и с их помощью спрогнозировать длительность поездки такси

Language: Jupyter Notebook - Size: 1.67 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 138 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 219 - Forks: 73

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.

Language: Jupyter Notebook - Size: 2.91 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 18 - Forks: 1

camilamaestrelli/Demand-Forecasting-Regression_Competition

Language: Jupyter Notebook - Size: 14.4 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

mamomen1996/R_CS_11

TimeSeries Analysis in R

Language: HTML - Size: 595 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

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.

Language: Jupyter Notebook - Size: 16.2 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

KoichiKuriyama/IPEV

Integer Programming Extreme Value Model

Size: 568 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

KelvinLam05/demand_prediction

Using machine learning methods to predict demand for bike sharing.

Language: Jupyter Notebook - Size: 74.2 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

jamestiotio/sentiENTERPRIZE

An Enterprize of Sentient Enterprise

Language: Java - Size: 6.46 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

panambY/Store_Item_Demand

The objective is to predict 3 months of item-level sales data at different store locations.

Language: Jupyter Notebook - Size: 5.85 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 1

kozodoi/DSG_2017_Round2

Solution to the Data Science Game 2017 competition (final stage)

Language: Jupyter Notebook - Size: 142 MB - Last synced at: about 1 year ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 1

Related Keywords
demand-prediction 19 machine-learning 11 time-series 5 regression 4 data-science 4 python 3 demand-forecasting 3 xgboost 3 data-visualization 3 data-analysis 3 forecasting 3 econometrics 2 sales-forecasting 2 regression-analysis 2 sarimax 2 exponential-smoothing 1 holt-winters 1 ml 1 r 1 sales-prediction 1 timeseries-analysis 1 prophet 1 timeseries-forecasting 1 covid-19 1 decomposition 1 arima 1 regression-model 1 flai 1 visualization 1 timeseries 1 taxi-demand-prediction 1 machine-learning-projects 1 geodata 1 coursera-machine-learning 1 coursera-final-project 1 urban-computing-papers 1 urban-computing 1 hackathon 1 data-science-game 1 random-forest 1 kaggle 1 item-shop 1 point-of-sales 1 point-of-sale 1 inventory-management-system 1 inventory-management 1 enterprise-software 1 enterprise-applications 1 enterprise 1 android-application 1 android-app 1 android 1 stacking-ensemble 1 pipeline 1 model-selection 1 data-preprocessing 1 binary-classification 1 welfare-analysis 1 utility-function 1 gauss 1 discrete-choice 1 rideshare 1 road-damage-detection 1 real-time 1 pothole-detection 1 innovation 1 dataanalytics 1 aiml 1 neural-network 1 django-deployment 1 deep-learning 1 ride-sharing 1 revenue-optimization 1 pricing-strategy 1 price-prediction-model 1 price-prediction 1 predictive-modeling 1 dynamic-pricing 1 business-intelligence 1 random-forest-regression 1 k-nearest-neighbours 1 depi 1 reinforcement-learning 1 market-optimization 1 lstm 1 e-commerce 1 traffic-prediction 1 traffic-forecasting 1 traffic-flow 1 traffic-data 1 temporal-graph-networks 1 spatio-temporal-networks 1 spatio-temporal 1 paper 1 infrastructure 1 graph-convolutional-networks 1 gnn-traffic 1 flow-prediction 1 datasets 1 ailab 1