Alternatives and similar repositories for public-hosting:

Users that are interested in public-hosting are comparing it to the libraries listed below

• gatsoulis / a_little_book_of_python_for_multivariate_analysis
  A Little Book of Python for Multivariate Analysis
  ☆86Updated 9 years ago
• ikding / pycon_time_series
  PyCon 2017 tutorial on time series analysis
  ☆72Updated 7 years ago
• fastai / word-embeddings-workshop
  This contains materials for the word embeddings workshop
  ☆126Updated 7 years ago
• Apress / mastering-ml-w-python-in-six-steps
  Source code for 'Mastering Machine Learning with Python in Six Steps' by Manohar Swamynathan
  ☆108Updated 7 years ago
• dziganto / Data_Science_Fundamentals
  ☆102Updated 6 years ago
• rozester / LinkedIn-Comments-Analyzer
  Extracting LinkedIn comments from any post and export it to Excel file
  ☆23Updated 6 years ago
• etcrago / Tutorial-Arima-w-jeffrey-yau
  ☆99Updated 6 years ago
• fastforwardlabs / probabilistic-programming-from-scratch
  Notebook version of an article on the Fast Forward Labs blog
  ☆61Updated 7 years ago
• ericmjl / bayesian-stats-talk
  Doing Bayesian statistics in Python!
  ☆67Updated 7 years ago
• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆165Updated 6 years ago
• bonzanini / VideoCourse-DataScienceRecipes
  Companion code for my video course on Practical Python Data Science Techniques, published by Packt Publishing
  ☆33Updated 7 years ago
• robert-alvarez / pytorch_tutorial
  ☆31Updated 5 years ago
• StrikingLoo / dask-dataframe-benchmarking
  A Jupyter Notebook I made to try out dask's Dataframes
  ☆27Updated 6 years ago
• croach / statistics-for-hackers
  A Jupyter notebook to accompany Jake VanderPlas's "Statistics for Hackers" talk from PyCon 2016.
  ☆77Updated 6 years ago
• Vishwacorp / nyc_uber_forecasting
  Forecasting Uber demand in NYC neighborhoods
  ☆34Updated 6 years ago
• deepsense-ai / pydatawarsaw-notebooks
  ☆55Updated 2 years ago
• hugobowne / machine_learning_techniques
  In which I implement some applications of machine learning techniques.
  ☆30Updated 8 years ago
• ethen8181 / Business-Analytics
  Data Analytics, Statistics, Visualization (R / Python)
  ☆92Updated 7 years ago
• woobe / h2o_tutorials
  Slides and code examples for H2O tutorials at various events
  ☆56Updated 7 years ago
• AlexIoannides / pymc-example-project
  Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
  ☆105Updated 6 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆103Updated 2 years ago
• the-deep-learners / nyc-ds-academy
  In-class exercises for Deep Learning course at NYC Data Science Academy
  ☆32Updated 7 years ago
• Startupsci / data-science-notebooks
  Jupyter notebooks for learning Python and Data Science, companion to Data Science Solutions book.
  ☆36Updated 5 years ago
• rasbt / scipy-2016-sklearn
  Scikit-learn tutorial at SciPy2016
  ☆19Updated 8 years ago
• CatalystCode / JupyterCon2017
  Notebook Narratives for Industry from 2017 JupyterCon
  ☆14Updated 7 years ago
• mikiobraun / ml4tsa
  Supplementary Material for Machine Learning for Time Series Analysis
  ☆19Updated 7 years ago
• bjherger / public-talks
  A repo for talk materials
  ☆25Updated 4 years ago
• algobeans / Time-Series-Forecasting
  Code to 1) scrap wikipedia page view counts, and to 2) conduct time series analysis with GAM
  ☆47Updated 7 years ago
• dipanjanS / nlp_workshop_iisc19
  Hands-on examples showcasing popular NLP applications
  ☆19Updated 5 years ago
• amitkaps / applied-machine-learning
  Applied Machine Learning @ http://amitkaps.com/ml
  ☆38Updated 6 years ago