A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Creative analysis and exploration of capital markets and alternative databases

This is a repository to extract different metrics from the OpenManage Enterprise service running in a Dell cluster

A unified framework for machine learning with time series

Matrix and data mining library in C++

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

A toolkit for machine learning from time series

MANGA Plus Top 40

Data Visualization with Python, Data Mining with Weka, LLMs, Machine Learning, NLP, Python, R Explanatory Data Analysis.

Astrostatistics and Machine Learning class for the MSc degree in Astrophysics at the University of Milan-Bicocca (Italy)

This project aims to compare traditional Machine Learning methods for tabular data classification, such as Ensemble methods, Decision Trees, and Naive Bayes, with NLP classification methods like Multinomial Naive Bayes, RNNs, and Transformers. We are utilizing survey data from the CDC via the Behavioral Risk Factor Surveillance System (BRFSS)

Principal Component Analysis (PCA) for Movie Recommender System

Collection of notes on things I find interesting

History of BuyVM/BuyShared/Frantech stock data scraped from buyvmstock.com & buyvm.hasstock.net

Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)

📝 An awesome Data Science repository to learn and apply for real world problems. With repository stars⭐ and forks🍴

This is a real-world dataset of 18,061 public electric vehicle (EV) charging piles for spatio-temporal charging demand prediction.

Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.

This repository contains various projects that involve the use of SQL queries.