applied-data-science

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

Curated list of technical blogs on machine learning · AI/ML/DL/CV/NLP/MLOps

📚 Curated list of machine learning engineering blogs.

📚 Curated collection of blogs and papers on how different companies are using machine learning in production for better customer support.

University Admit Eligibility Predictor

This project aims to make a quantitative analysis of the New York City Taxi and Limousine Service Trip Record Data. The dataset covers trips taken in various types of taxi and for-hire vehicle services in the New York City area.

The purpose of the project is to build a rainfall forecasting machine learning-based model that will be critical to the development of an early warning system that can minimise hazards to people and property while also improving the management of agricultural chores. Demo Link -

Portfolio of projects completed as an M.S. candidate in Syracuse University's Applied Data Science program

DDL code for creating the Fudge Corp data warehouse. In partial fulfillment of the requirements for IST-722, Syracuse University, MS in Applied Data Science program.

Contains a collection of final works completed during my Master of Science program at Syracuse University

This project aims to develop algorithms to optimise the dispatch behaviour of a battery based in Victoria. Maximise revenues by charging when electricity prices are low and discharge when prices are high.

CMU Course Project for Applied Data Science (16-791)

Portfolio for the Applied Data Science minor. Working with Guus Hamm

An approach to the agile desing and implementation of a data strategy in businesses

This project is to predict number of bikes rented in each bike stations with a temporal granularity of one hour.

The annual Stack Overflow survey results of 2018 will be used to create a model that predicts the job satisfaction of software developers

Spatiotemporal datasets consists of both space and time dimensions and represent many real world applications such as medical imaging data, video data, weather patterns and so on. The aim of this assignment is to familiarize ourselves with dataset generation by time samples and pixel values, its preprocessing by statistical measures, its analysi…

This repository contains the Applied Data Science Capstone Project for IBM Data Science Certificate