DocuMind, an AI-powered analytics platform, that performs natural language data analysis on CSV files and leverages RAG for intelligent document querying using GPT-4o and Gemini.

A modular Python library for time-series forecasting built on Google TimesFM

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

FastAPI framework, high performance, easy to learn, fast to code, ready for production

A collection of code snippets from the publication Daily Dose of Data Science on Substack: http://www.dailydoseofds.com/

A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.

The open source developer platform to build AI agents and models with confidence. Enhance your AI applications with end-to-end tracking, observability, and evaluations, all in one integrated platform.

Interpretability and explainability of data and machine learning models

Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. The next cohort starts in January 2026. Join the course here 👇🏼

🌊 Online machine learning in Python

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

Publication-ready NN-architecture schematics.

The Python Control Systems Library is a Python module that implements basic operations for analysis and design of feedback control systems.

Middlesex University Dubai: MSc Data Science. Modelling, Regression and Machine Learning track. Instructor: Dr. Ivan Reznikov

Free Motion Capture for Everyone 💀✨

Cut and paste your surroundings using AR

This repo contains datasets used in trainings.

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

This Jupyter Notebook condenses the Plotly API into one easy to use document with examples

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

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

TensorFlow Recommenders is a library for building recommender system models using TensorFlow.

This repository consists of some tasks completed during my Data Science and Business Analytics Internship at The Sparks Foundation.

We worked on Machine Learning methods to detect skin cancer.

Streamlit — A faster way to build and share data apps.

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.