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 collection of R programming notebooks and resources covering basics to advanced topics like arrays, data frames, loops, clustering (KMeans, DBSCAN), PCA, and more. Regularly updated with practical examples and tutorials.
This is a collection of sample iPhyton Notebooks, these can be used with Google Cloud Datalab
Kaggle learn course tutorial and exercises notebook
My .IPYNB notebooks made while learning PyTorch.
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.
Interactive Python & Streamlit app visualizing 2009–2019 Indian weather trends across eight major cities.
Created by Fernando Pérez, Brian Granger, and Min Ragan-Kelley
Released December 2011
Latest release 12 days ago