Python Data Science Handbook: full text in Jupyter Notebooks

A game theoretic approach to explain the output of any machine learning model.

PRML algorithms implemented in Python

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.

数据科学的笔记以及资料搜集

Econ5121A@CUHK. This is an open-source writing project.

Source Code for 'Beginning Anomaly Detection Using Python-Based Deep Learning' by Sridhar Alla and Suman Kalyan Adari

An official repository for a VAE tutorial of Probabilistic Modelling and Reasoning (2023/2024) - a University of Edinburgh master's course.

Workshop

This repository serves to host the teaching and learning content developed by EDINA, the centre for digital expertise at the University of Edinburgh, in collaboration with Education Scotland to pro…

Setup instructions and jupyter notebooks for SaxaVord MSc EO Challenge