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.

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

Machine learning system for predicting genetic disorders using genomic, clinical, and demographic data. Implements robust preprocessing, feature selection, and multi-model classification (RF, XGBoost, LightGBM, CatBoost) with cross-validation to support early, data-driven genetic risk assessment.

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

A compilation of codes for SMA, DC, ADS

DSCI 552: Machine Learning for Data Science

Predicting the pressure and velocity fields of a fluid using the RANS approach with Physics-Informed Neural Networks, specifically Physics Residual Adaptive Networks (PirateNET).

An MPI-parallelized Python package to compute the eigenenergies described in a series of publications titled "Exact Nonlinear Decomposition of Ideal-MHD Waves Using Eigenenergies (EEDM)".

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.

Sistema de análisis de churn (abandono) con EDA exhaustivo y pipeline completo de preparación de datos (limpieza, imputación, feature engineering, encoding y escalado) siguiendo CRISP-DM. Dataset de 15k registros. Modelos ML (XGBoost, RF) y SHAP pendientes. Proyecto de portafolio para Maestría en Estadística Aplicada.

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

XYZ Medical Solutions - Patient Insights Project : Explore our analysis of surgical and hospital data acquired by XYZ Medical Solutions. Uncover key demographic trends, market opportunities, and actionable insights to guide strategic decisions.

Comparative analysis of sentence embedding models as low-cost proxies for Google LaBSE in Semantic SEO, AI Search, content relevance, link relevance and topical authority scoring. The coding stack for the analysis is stored here.

Team Nebulae's first hackathon experience!

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