demand-forecasting

Time Series Forecasting Best Practices & Examples

List of papers, code and experiments using deep learning for time series forecasting

Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, etc.)

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.

Curated list of awesome supply chain blogs, podcasts, standards, projects, and examples.

Time Series Forecasting for the M5 Competition

Machine Learning for Retail Sales Forecasting — Features Engineering

Internship project

The primary objective of this project is to build a Real-Time Taxi Demand Prediction Model for every district and zone of NYC.

Dynamic Bandwidth Monitor; leak detection method implemented in a real-time data historian

Bike sharing prediction based on neural nets

E-commerce Inventory System developed using Vue and Vuetify

Food Demand Forecasting Challenge

Minimize forecast errors by developing an advanced booking model using Python

In tune with conventional big data and data science practitioners’ line of thought, currently causal analysis was the only approach considered for our demand forecasting effort which was applicable across the product portfolio. Experience dictates that not all data are same. Each group of data has different data patterns based on how they were s…

Forecasting the Production Index using various time series methods

Predict M5 kaggle dataset, by LSTM and BI-LSTM and three optimal, bottom-up, top-down reconciliation approach.

Applying a structural time series approach to California hourly electricity demand data.

Time Series Forecasting for Walmart Store Sales