Stars
A set of exercises for deliberate Git Practice
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.
Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
VIP cheatsheets for Stanford's CS 229 Machine Learning
A repository with solutions to the assignments on Andrew Ng's machine learning MOOC on Coursera
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
Series on Tensorflow starting from the basics and working our way up to more complex models
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Solutions to all quiz and all the programming assignments!!!
Coursera Machine Learning By Prof. Andrew Ng
Tutorials for DataCamp (www.datacamp.com)
Accompanying source codes for my book 'Mastering Python for Finance'.
Machine Learning for finance and investment introduction
Repository of teaching materials, code, and data for my data analysis and machine learning projects.