🦜🔗 Build context-aware reasoning applications

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Python Data Science Handbook: full text in Jupyter Notebooks

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

Google Research

The fastai deep learning library

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

The fastai book, published as Jupyter Notebooks

A collection of various deep learning architectures, models, and tips

Recipes for using Python's pandas library

Code for Tensorflow Machine Learning Cookbook

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

Simple tutorials using Google's TensorFlow Framework

Repo for the Deep Learning Nanodegree Foundations program.

Content for Udacity's Machine Learning curriculum

Jupyter notebooks from the scikit-learn video series

A crash course in six episodes for software developers who want to become machine learning practitioners.

TensorFlow Tutorials

A repo for data science related questions and answers

Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)

Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.

This is the code for "How to Make a Text Summarizer - Intro to Deep Learning #10" by Siraj Raval on Youtube

Code and files of the deep learning model used to win the Nexar Traffic Light Recognition challenge

Deep Learning Workshop : Including a VirtualBox VM with pre-configured Jupyter, Tensorflow, PyTorch, models and data

Various projects in Linear Regression, Logistic Regression, k Nearest Neighbors, Decision Trees, Random Forests, SVM

This is the code for "A Guide to CoreML for iOS" by Siraj Raval on Youtube

Projects for Udacity's Machine Learning Engineer Nanodegree