Alternatives and similar repositories for Notebooks

Users that are interested in Notebooks are comparing it to the libraries listed below

• Lab41 / hermes
  Recommender System Framework
  ☆126Updated 8 years ago
• thismlguy / Kaggle
  Containing codes of participation in Kaggle competitions.
  ☆37Updated 9 years ago
• natbusa / deepcredit
  How to predict credit defaulting?
  ☆93Updated 6 years ago
• turi-code / tutorials
  This repository contains materials for demos, tutorials, and talks by Dato Inc.
  ☆172Updated 9 years ago
• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆165Updated 6 years ago
• JasonKessler / Scattertext-PyData
  Notebooks for the Seattle PyData 2017 talk on Scattertext
  ☆142Updated 7 years ago
• tdhopper / pydata-nyc-2015
  Understanding Probabilistic Topic Models with Simulation in Python
  ☆64Updated 8 years ago
• fastai / word-embeddings-workshop
  This contains materials for the word embeddings workshop
  ☆127Updated 8 years ago
• gabrielspmoreira / static_resources
  ☆77Updated 9 years ago
• justmarkham / pydata-dc-2016-tutorial
  Tutorial: Machine Learning with Text in scikit-learn
  ☆74Updated 9 years ago
• amueller / applied_ml_spring_2017
  Website and material for the FIXME course on Practical Machine Learning
  ☆88Updated 7 years ago
• podopie / DAT18NYC
  General Assembly repo for Data Science 18
  ☆36Updated 10 years ago
• maciejkula / netrex
  Neural network recommendation models in PyTorch
  ☆58Updated 8 years ago
• MLWave / kaggle_acquire-valued-shoppers-challenge
  Code for the Kaggle acquire valued shoppers challenge
  ☆66Updated 11 years ago
• ParrotPrediction / docker-course-xgboost
  Materials for an online-course - "Practical XGBoost in Python"
  ☆220Updated 9 years ago
• vivekkalyanarangan30 / Text-Clustering-API
  Implementation of a text clustering algorithm using Kmeans clustering in order to derive quick insights from unstructured text
  ☆126Updated last year
• sarguido / networkx-tutorial
  Twitter Network Analysis with NetworkX
  ☆94Updated 10 years ago
• rafacarrascosa / samr
  An entry to kaggle's 'Sentiment Analysis on Movie Reviews' competition
  ☆180Updated 7 years ago
• bugra / pydata-dal-2015
  Pydata Dallas 2015 Scikit-Learn Tutorial
  ☆62Updated 10 years ago
• ojedatony1616 / exploratory_transformation
  Repository for exploratory data transformation & visualization talk
  ☆27Updated 9 years ago
• bhimmetoglu / kaggle_101
  Some work on Kaggle data for fun
  ☆64Updated 8 years ago
• maoting1223 / pycon_sg_2016
  PyCon SG 2016 - Customer Segmentation in Python
  ☆56Updated 9 years ago
• meabhishekkumar / strata-conference-ca-2018
  environment setup for strata conference 2018
  ☆67Updated 7 years ago
• amueller / advanced_training
  Advanced Scikit-learn training session
  ☆118Updated 9 years ago
• karthikmswamy / TFTutorials
  Contains code for understanding TensorFlow workflow and basics
  ☆51Updated 7 years ago
• analyticsvidhya / knocktober-2016
  Codes related to Knocktober 2016
  ☆23Updated 9 years ago
• RaRe-Technologies / movie-plots-by-genre
  Movie plots by genre tutorial at PyData Berlin 2016
  ☆262Updated 5 years ago
• ethen8181 / Business-Analytics
  Data Analytics, Statistics, Visualization (R / Python)
  ☆94Updated 8 years ago
• vladsandulescu / topics
  Topic modeling with gensim and LDA
  ☆169Updated 8 years ago
• pwharrison / modern-nlp-in-python
  ☆374Updated 7 years ago