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.

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

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

A spare engine placement generator based on a Finite-Horizon Markov Decision Process

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.

Using machine learning methods to predict demand for bike sharing.

this repository contains main project of Rahnema college machine learning bootcamp

TimeSeries Analysis in R

A default spare engine placement generator

определить характеристики и с их помощью спрогнозировать длительность поездки такси

An Enterprize of Sentient Enterprise

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

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.

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

Integer Programming Extreme Value Model