GitHub projects

Timeline

raw

Google Chart Gallery

ggplot2

exhibit

Data-Driven Documents(D3js)

Cube

bokeh

amcharts

keras-contrib

XGBoost

mefasttext - Memory-efficient FastText variant with exact trie n-gram IDs, structure-aware row sharing, and mmap serving for large-vocabulary NLP.

HDBSCAN (Hierarchical Density-Based Spatial Clustering of Applications with Noise)

Master's Degree in Data Science and Computer Engineering @ University of Granada

Master of Applied Data Science @ The University of Michigan

Master of Management Analytics @ Queen's University

Master of Data Science @ Melbourne University

MS in Applied Data Science @ Syracuse

MS in Computer Information Systems @ Boston University

Data Science Degree @ Wisconsin

WorldQuant University Applied Data Science Lab

course material on text-mining / corpus-linguistics in German funded by the federal state of North Rhine-Westphalia

Scaler Data Science & Machine Learning Program

Data Scientist with Python

Coursera Tensorflow in practice

COMP3222/COMP6246 - Machine Learning Technologies

Keras in Motion

Oxford Deep Learning - video

OpenIntro

Free resources and learn what data science is and how it’s used in different industries.

Free Course and Certification for building an end-to-end machine using W&B

Learn about Data Science, Machine Learning, Python etc

Introduction to machine learning covering basic theory, algorithms and applications

StepByStepML - Interactive calculator that visualizes the step-by-step manual math behind machine learning algorithms for exam prep.

Understand Data Science Course in Java

12 free Data Science projects to practice Python and Pandas

Minimum Viable Study Plan for Machine Learning Interviews

Tutorials of source code from the book Genetic Algorithms with Python by Clinton Sheppard

Free cross-platform search engine indexing 50,000+ tutorials from Udemy, Skillshare, Pluralsight, and other major learning platforms across 45+ categories.

AI literature search, document translation, and deep-research workspace for researchers.

MCP server that gives AI agents access to a database of scientific papers built from raw experimental data extracted from full-text studies. Returns 25+ structured fields per paper including methods, results, sample sizes, and quality scores. GitHub

Production lessons on orchestrator-worker agents, parallel search, evaluation, and operational reliability.

A reference architecture that turns project work into isolated, observable coding-agent runs.

An open-source platform for running software development agents locally or in the cloud.

Evaluation and experimentation for retrieval and generative AI applications.

Test cases, assertions, model comparisons, and red-team checks for LLM applications.

A practical method for building task suites, graders, transcripts, and evaluation harnesses.

Modular pipelines for retrieval and generative AI applications.