A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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

The fastai book, published as Jupyter Notebooks

Learn OpenCV : C++ and Python Examples

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

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

Free MLOps course from DataTalks.Club

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

Build your neural network easy and fast, 莫烦Python中文教学

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

Plain python implementations of basic machine learning algorithms

A collection of scientific methods, processes, algorithms, and systems to build stories & models.

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

This is Andrew NG Coursera Handwritten Notes.

Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative ski…

Hackers' Guide to Language Models

Exercise notebooks for Machine Learning modules on Microsoft Learn

🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

Free hands-on digital forensics labs for students and faculty

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

The repository contains script and notebook related to Statistics, Machine learning, Neural network, Deep learning, NLP, Numerical methods, and Automation.

A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations (by @firmai)

Hands-on Exploratory Data Analysis with Python, published by Packt

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

Deep Learning Fundamentals -- Code material and exercises

Revisions and implementations of modern Convolutional Neural Networks architectures in TensorFlow and Keras

Problem sets from practiceprobs.com