The Jupyter Notebook, previously known as the IPython Notebook, is a language-agnostic HTML notebook application for Project Jupyter. Jupyter notebooks are documents that allow for creating and sharing live code, equations, visualizations, and narrative text together. People use them for data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.
Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
Convert Rmd (rmarkdown) to ipynb (Jupyter notebook)
Convert Jupyter (IPython) Notebooks to static HTML
A repository for sharing ipynb's of my experiments with ML. Some notebooks are 'old' by now and might no longer work 'out of the box'.
Jupyter Notebook for KNN Algorithm.
A simple command-line tool for converting Python scripts to Jupyter notebooks and vice versa.
This is a collection of sample iPhyton Notebooks, these can be used with Google Cloud Datalab
My .IPYNB notebooks made while learning PyTorch.
Kaggle learn course tutorial and exercises notebook
Python notebook collection about Data Science and Machine Learning. Data science course assignments from Sanberode Indonesia
This repository contains a python notebook that creates Table-1: baseline characteristics with p-values comparing two groups. Greatly helpful for clinical and biological studies. Can be used for manuscipts.
Created by Fernando Pérez, Brian Granger, and Min Ragan-Kelley
Released December 2011
Latest release 8 days ago