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Python Data Science Handbook: full text in Jupyter Notebooks
Learn how to design, develop, deploy and iterate on production-grade ML applications.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
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 👇🏼
Course Files for Complete Python 3 Bootcamp Course on Udemy
A game theoretic approach to explain the output of any machine learning model.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Free MLOps course from DataTalks.Club
FinRL®: Financial Reinforcement Learning. 🔥
Learn ML engineering for free in 4 months! Register here 👇🏼
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Code for Tensorflow Machine Learning Cookbook
From the basics to slightly more interesting applications of Tensorflow
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Repo for the Deep Reinforcement Learning Nanodegree program
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Collection of useful data science topics along with articles, videos, and code
Tutorials for creating and using ONNX models
Python-based tools for document analysis and OCR
Learn how to design, develop, deploy and iterate on production-grade ML applications.
We are building an open database of COVID-19 cases with chest X-ray or CT images.
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
Easily compute clip embeddings and build a clip retrieval system with them
Jupyter extensions that help you write code faster: Context aware AI Chat, Autocomplete, and Spreadsheet