data-science

Topic Inference with Zeroshot models

Power up your data science workflow with ChatGPT.

The most complete and actively updated FIFA World Cup 2026 dataset on Kaggle. A clean, authentic, relational dataset covering the entire tournament (June 11 – July 19, 2026) with the first-ever 48-team format. Includes real match results updated daily, 1,248 players across all 48 squads, expected goals (xG), minute-by-minute match events.

239 evaluated academic Claude/agent skills across 17 research domains (bioinformatics, data science, clinical, social-science methods, Turkish academia & more). Executable eval per skill, deterministic citation verifier, research→write→review→publish pipeline, and a skill-finder front door. Claude Code, Cursor, Codex, Gemini CLI & Copilot.

🤖 Python implementations of some of the fundamental Machine Learning models and algorithms from scratch with interactive Jupyter demos and math being explained.

Python temellerinden Reinforcement Learning'e kadar uzanan, 22 modüllük uçtan uca Veri Bilimi & Makine Öğrenmesi yol haritası. Her konuda çalıştırılmış notebook'lar ve PDF tekrar soruları.

Code Repository for Machine Learning, Data Science and Generative AI with Python, Published by Packt

The AI-native JupyterLab — open-source Cursor for notebooks. Cmd+K inline edit, multi-step agent with cell-level tools (read/edit/run), chat with @cell/@file context, ghost-text completion, one-click traceback fix. BYO model: Anthropic, OpenAI, Gemini, Ollama, vLLM. Local-first, privacy-first, fully open source.

Easiest way to use AI models without coding (Web UI & API support)

Free AI/ML course with 950+ Jupyter notebooks — Python, deep learning, LLMs, RAG, agents, prompt engineering, fine-tuning, MLOps

Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io

This repository contain my 75Day Hard Generative AI and LLM Learning Challenge.

APDTFlow is a modern and extensible forecasting framework for time series data that leverages advanced techniques including neural ordinary differential equations (Neural ODEs), transformer-based components, and probabilistic modeling. Its modular design allows researchers and practitioners to experiment with multiple forecasting models and easily

Designing and Deploying LLM Pipelines

Airflow Pipeline for Machine Learning

⚡ Instantly turn your python function into web app.

Building a model to recognize incentives for landscape restoration in environmental policies from Latin America, the US and India. Bringing NLP to the world of policy analysis through an extensible framework that includes scraping, preprocessing, active learning and text analysis pipelines.

Convert your Colab notebook to a PDF. One-minute install. Zero configuration.

This project leverages Claude Code’s powerful agent capabilities to build a multi-agent system that simulates the real-world collaboration process of a data science team. Through the division of labor among AI agents with different areas of expertise, the system delivers a complete end-to-end data science solution—from raw data to the final analysi

A collection of useful tools for handling speech recognition data