Alternatives and similar repositories for pycon-ua-2018

Users that are interested in pycon-ua-2018 are comparing it to the libraries listed below

• etcrago / Tutorial-Arima-w-jeffrey-yau
  ☆98Updated 6 years ago
• ikding / pycon_time_series
  PyCon 2017 tutorial on time series analysis
  ☆72Updated 8 years ago
• amueller / scipy-2018-sklearn
  Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller
  ☆248Updated 6 years ago
• shellshock1911 / Sky-Cast-Capstone
  Sky Cast: A Comparison of Modern Techniques for Forecasting Time Series
  ☆68Updated 7 years ago
• SimiY / pydata-sf-2016-arima-tutorial
  PyData San Francisco 2016 - ARIMA Tutorial
  ☆86Updated 9 years ago
• Pierian-Data / AutoArima-Time-Series-Blog
  This is the code notebook for the blog post on using Python and Auto ARIMA
  ☆104Updated 5 years ago
• rouseguy / TimeSeriesAnalysiswithPython
  Time Series Analysis with Python
  ☆348Updated 9 years ago
• Geo-Joy / Deep-Learning-for-Time-Series-Forecasting
  This repository is designed to teach you, step-by-step, how to develop deep learning methods for time series forecasting with concrete an…
  ☆143Updated 6 years ago
• ericmjl / bayesian-stats-talk
  Doing Bayesian statistics in Python!
  ☆67Updated 7 years ago
• urgedata / pythondata
  repo for code published on pythondata.com
  ☆123Updated 6 years ago
• AnnaNican / optimizers
  examples of lp optimization in python
  ☆170Updated 5 years ago
• raffg / prophet_forecasting
  forecasting examples using Facebook Prophet
  ☆64Updated 5 years ago
• Semantive / Kaggle-Demand-Forecasting-Models
  Demand Forecasting Models for Kaggle competition
  ☆85Updated 7 years ago
• dacatay / time-series-analysis
  Presentation for time series analysis
  ☆45Updated 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
  ☆112Updated 8 years ago
• PacktPublishing / Practical-Time-Series-Analysis
  Practical Time-Series Analysis, published by Packt
  ☆410Updated 2 years ago
• Apress / monetizing-machine-learning
  Source code for 'Monetizing Machine Learning' by Manuel Amunategui and Mehdi Roopaei
  ☆137Updated 7 years ago
• tklouie / PyData_LA_2018
  Added repo for PyData LA 2018 tutorial
  ☆88Updated 6 years ago
• chrisluedtke / data-science-journal
  Personal repository of data science demonstrations and references
  ☆77Updated 2 years ago
• ParrotPrediction / docker-course-xgboost
  Materials for an online-course - "Practical XGBoost in Python"
  ☆219Updated 9 years ago
• TomAugspurger / dask-tutorial-pycon-2018
  ☆136Updated 5 years ago
• fonnesbeck / intro_stat_modeling_2017
  Introduction to Statistical Modeling with Python (PyCon 2017)
  ☆169Updated 4 years ago
• Sangarshanan / time-series-forecasting
  Understanding time series forecasting
  ☆65Updated 4 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆104Updated 3 years ago
• LeiG / Applied-Predictive-Modeling-with-Python
  A collection of notebook to learn the Applied Predictive Modeling using Python.
  ☆279Updated 8 years ago
• WillKoehrsen / automated-feature-engineering
  Automated feature engineering in Python with Featuretools
  ☆521Updated 6 years ago
• PacktPublishing / scikit-learn-Cookbook-Second-Edition
  scikit-learn Cookbook Second Edition, published by Packt
  ☆102Updated 2 years ago
• PacktPublishing / Python-Data-Analysis-Second-Edition
  Python Data Analysis Second Edition by Packt
  ☆69Updated last year
• mlmarenchino / forecasting
  An attempt to translate "Forecasting: Principles and Practice" by Rob J Hyndman and George Athanasopoulos (https://otexts.org/fpp2/) to p…
  ☆18Updated 6 years ago
• PacktPublishing / Hands-On-Automated-Machine-Learning
  Hands-On Automated Machine Learning, published by Packt
  ☆70Updated 2 years ago