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dj4e-samples

Django For Everybody Sample Code

eigenfaces

Using PCA and Autoencoder to extract effective features from face images. Comparison of the two on Yale Face Database B.

elegant-scipy

1st Edition of Elegant SciPy (O'Reilly Publishers)

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

generative-ai-with-llms

In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.

guide-to-data-mining

iPython Notebook of the Guide to Data Mining

hadoop-algorithms

hadoop-book

Example source code accompanying O'Reilly's "Hadoop: The Definitive Guide" by Tom White

handson-ml

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

handson-ml2

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.

hbase-book

Contains the code used in the HBase: The Definitive Guide book.

hw3_public

img

interactive-dashboards-and-data-apps-with-plotly-and-dash

Interactive Dashboards and Data Apps with Plotly and Dash, published by Packt

interpretable-ml-class.github.io

A course on interpretability and explainability in machine learning

interpretablemachinelearning2020

Lecture notes for 'Interpretable Machine Learning' at WUT and UoW. Summer semester 2019/2020

intro-workshop

Associated files for the an introductory Weaviate online workshop

intro_to_machine_learning

Machine Learning Algorithms

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

jdk7u-jdk

jupyter

Jupyter metapackage for installation, docs and chat

knitr-examples

a collection of knitr examples

learning-data-science

A repo for learning data science and Python.

loss-landscape

Code for visualizing the loss landscape of neural nets

machine_learning_refined

Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).

made-with-ml

Learn how to responsibly deliver value with ML.

mia

Mahout in Action Example Code

ml

ml-coursera-python-assignments

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.