12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs,…

Learn how to design, develop, deploy and iterate on production-grade ML applications.

12 Weeks, 24 Lessons, AI for All!

This is a repo with links to everything you'd ever want to learn about data engineering

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 👇🏼

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for re…

Companion webpage to the book "Mathematics For Machine Learning"

Free MLOps course from DataTalks.Club

Learn ML engineering for free in 4 months! Register here 👇🏼

Sample code for Channel 9 Python for Beginners course

Probabilistic reasoning and statistical analysis in TensorFlow

🚀 Curated collection of Amazing Python scripts from Basics to Advance with automation task scripts.

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Code repository for O'Reilly book

MLOps examples

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"

The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI

Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features

A comprehensive learning path and practical guide for Generative AI development with hands-on LangChain implementations and detailed notes.

Gen AI uses GANs to generate CIFAR-10-like images. The custom GAN model comprises a Generator and a Discriminator. Users can train the model and generate images using Jupyter Notebooks or Google Co…

Cloning Yourself using your whatsapp chat history and training a model on it.

A machine learning solution for extracting key entity values (weight, volume, dimensions) from product images.

Code for the 2023 Amazon ML Challenge

Team D.N.A's solution to Amazon ML Challenge 2023 using XGBoost

Predict Product Length Using the Product Textual Information such as Title , Description , Product type and bullet points .