bermuda Goto Github PK

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

arxiv-sanity-preserver

Web interface for browsing, search and filtering recent arxiv submissions

coursera-machine-learning

Coursera Machine Learning - Python code

dataviz-with-python-and-js

The accompanying files for the book 'Dataviz with Python and JavaScript'

deep-learning-book

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

deeplearningtutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

generative-ai-for-beginners

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

hello-world

ipython-notebooks

A collection of IPython notebooks covering various topics.

islr-python

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

jupyterworkflow

Reproducible Data Analysis Workflow in Jupyter

kaggle

Repository for code used in Kaggle competitions.

machine_learning_examples

A collection of machine learning examples and tutorials.

ml-mastery

Code from Jason Brownlee's course on mastering machine learning

myapp

sample app try2

oreilly-matplotlib-course

Jupyter notebooks from my O'Reilly Media course "Matplolib for Developers: Data Visualization and Analysis with Python"

pandas-videos

Jupyter notebook and datasets from the pandas Q&A video series

parallel_ml_tutorial

Tutorial on scikit-learn and IPython for parallel machine learning

py4e

Web site for www.py4e.com and source to the Python 3.0 textbook

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pydata-chicago2016-ml-tutorial

Machine learning with scikit-learn tutorial at PyData Chicago 2016

python-machine-learning-book

The "Python Machine Learning" book code repository and info resource

python-ml-book-raschka

Code snippets from 2015 book by Sebastian Raschka - "Python Machine Learning"

python-reference

Python Quick Reference

pythondatasciencehandbook

Jupyter Notebooks for the Python Data Science Handbook

scikit-learn-videos

Jupyter notebooks from the scikit-learn video series

scipy-2016-sklearn

Scikit-learn tutorial at SciPy2016

scipy-2017-sklearn

Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller

sklearn_pycon2015

Materials for my Pycon 2015 scikit-learn tutorial.

sklearn_tutorial

Materials for my scikit-learn tutorial