Stars
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
TensorFlow Tutorials with YouTube Videos
this repository accompanies the book "Grokking Deep Learning"
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K…
Book about interpretable machine learning
Text and supporting code for Think Stats, 2nd Edition
Deep Learning tutorials in jupyter notebooks.
A curated list of awesome embedding models tutorials, projects and communities.
Tutorial on scikit-learn and IPython for parallel machine learning
Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques
Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way
Lectures for INFO8010 Deep Learning, ULiège
Misc data visualization projects, examples, and demos: mostly Python (pandas + matplotlib) and JavaScript (leaflet).
Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)
NLP in Python with Deep Learning
Some sample IPython notebooks for scikit-learn
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
Deep Learning Workshop : Including a VirtualBox VM with pre-configured Jupyter, Tensorflow, PyTorch, models and data
Course repo for Applied Natural Language Processing (Spring 2019)
useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html
A Keras model that addresses the Quora Question Pairs dyadic prediction task.
LLM Workshop by Sourab Mangrulkar
Machine Learning Lectures at the European Space Agency (ESA) in 2018
Exercises for the Analysis of Knowledge Graphs
Course notes for Data Science related topics, prepared in LaTeX