Alternatives and similar repositories for time-series-workshop:

Users that are interested in time-series-workshop are comparing it to the libraries listed below

• nderzsy / Network-Analysis-in-Python---Tutorial-JupyterCon18-ODSCEast18
  "Network/Graph Analysis in Python" repository of 3 hours training session held at ODSC East 2018 and JupyterCon 2018.
  ☆37Updated 6 years ago
• amueller / talks_odt
  Slides and materials for most of my talks by year
  ☆91Updated last year
• jseabold / odsc-west-python-2017
  Introduction to Python for Data Science
  ☆39Updated 7 years ago
• mpearmain / scikit-wrapRs
  ☆13Updated 7 years ago
• sampathweb / odsc-feature-engineering-talk
  Feature Engineering with Pipeline Talk at ODSC West 2016, Santa Clara
  ☆17Updated 8 years ago
• ojedatony1616 / exploratory_transformation
  Repository for exploratory data transformation & visualization talk
  ☆26Updated 8 years ago
• moocarme / pydata_2018
  Repo for PyData 2018 tuorial
  ☆12Updated 6 years ago
• tdhopper / intro-to-scikit-learn
  Materials for talk on scikit-learn
  ☆27Updated 9 years ago
• ericmjl / bayesian-stats-talk
  Doing Bayesian statistics in Python!
  ☆66Updated 6 years ago
• thedataincubator / practical-ml
  ☆24Updated 6 years ago
• jfpuget / Tidy-Data
  Python code for Hadley Whickham's article on Tidy Data.
  ☆34Updated 8 years ago
• rlabbe / statistical-rethinking
  Notebooks containing R code from Richard McElreath's Statistical Rethinking
  ☆73Updated 8 years ago
• alzmcr / axa
  Kaggle's AXA Driver Telematics Analysis
  ☆11Updated 9 years ago
• matthewbrems / jupytercon-missing-data-2018
  JupyterCon Missing Data Talk 2018
  ☆23Updated 6 years ago
• fastforwardlabs / couples-lime
  Notebook demonstrating use of LIME to interpret a model of long-term relationship success
  ☆24Updated 7 years ago
• gapatino / Doing-frequentist-statistics-with-Scipy
  Repository for the PyData DC 2016 tutorial
  ☆29Updated 8 years ago
• jcbozonier / research
  A collection of IPython Notebooks containing my research.
  ☆20Updated 6 years ago
• anj-s / kdd2018
  Hands-on workshop
  ☆38Updated 6 years ago
• TomAugspurger / pydata-nyc-ph2t
  PyData NYC 2017: Pandas Head to Tail
  ☆57Updated 7 years ago
• vmirly / DataScience
  ☆66Updated last year
• TomAugspurger / dask-tutorial-odsc-2018
  ☆15Updated 2 years ago
• the-deep-learners / nyc-ds-academy
  In-class exercises for Deep Learning course at NYC Data Science Academy
  ☆32Updated 6 years ago
• fonnesbeck / multilevel_modeling
  Tutorial on multilevel modeling, using Gelman radon example
  ☆55Updated 9 years ago
• lemonlaug / odsc-prophet
  Presentation on How to use Facebook Prophet
  ☆8Updated 7 years ago
• tgsmith61591 / skutil
  NOTE: skutil is now deprecated. See its sister project: https://github.com/tgsmith61591/skoot. Original description: A set of scikit-lear…
  ☆30Updated 6 years ago
• dselivanov / kaggle-outbrain
  Companion repository to blog posts https://dsnotes.com/post/2017-01-27-lessons-learned-from-outbrain-click-prediction-kaggle-competition/…
  ☆21Updated 7 years ago
• tz33cu / ColumbiaX-Statistical-Thinking-for-Data-Science
  This repo contains some R learning activities we created for the course I for the ColumbiaX series on Data Science and Analytics on edX.
  ☆65Updated 8 years ago
• analyticsvidhya / The_Smart_Recruits
  ☆9Updated 8 years ago
• TomAugspurger / mtg
  Materials for my talk at PyData Chicago 2016
  ☆20Updated 7 years ago