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
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'.
Convert Jupyter (IPython) Notebooks to static HTML
A simple tutorial of wavelet, STFT and FFT
Convert Rmd (rmarkdown) to ipynb (Jupyter notebook)
CS302 Modelling and Simulation Weekly Assignments in python based on modelling different systems - SARS, Malaria, SIR
NBA players individual performance perdictions using Neural Networks. Comparison between LSTM and Feed Forward Architectures. Created by Meitar Bach, Mai Elenberg and Lior Ben-Ami
An app for macOS that launches and displays jupyter lab. No need to keep terminal open for that anymore!
Collection of data science projects. Each sector takes to kaggle page where you can find the codes along with explanations and analysis.
Training a classifier to differentiate between positive and negative movie review sentences in the "sentence polarity dataset v1.0"
19CSE305 Term project
Jupyter Notebook for KNN Algorithm.
Where and how to use decorators in python.
A well structured practical deep dive into functional programming in NumPy.
Exploring deep learning on Cooley
This is a collection of sample iPhyton Notebooks, these can be used with Google Cloud Datalab
Kaggle learn course tutorial and exercises notebook
Beginning with NLP
Created by Fernando Pérez, Brian Granger, and Min Ragan-Kelley
Released December 2011
Latest release 7 days ago