📚 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.

I'm excited to share my data science project🚀, where I've applied various techniques and insights to solve a specific problem. The project follows best practices for maintainability and reproducibility, using the Data Science Project Template. Dive into the project to explore the code, datasets, documentation, and resources that showcase MyJourney

A compilation of codes for SMA, DC, ADS

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.

This project is the applied data science capstone project provided by IBM.

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

DSCI 552: Machine Learning for Data Science

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.

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.

University Admit Eligibility Predictor

Generalised folds and unfolds for R

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

Team Nebulae's first hackathon experience!

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

Hello! I'm Vitalii Diakonov, a Miami-based Data Scientist. Armed with a Master's in Data Science, along with a Doctorate in Medicine and a Master's in Economics, I blend diverse expertise into insightful data-driven projects. Explore this repository to witness my multidisciplinary approach in action.