sktime / sktime-workshop-pydata-london-2022

Related projects: ⓘ

• sktime / sktime-tutorial-pydata-global-2022
  sktime - python toolbox for time series: pipelines and transformers
  ☆24Updated last year
• ianozsvald / mot_pandas2_polars_dask
  Investigation for PyDataLondon 2023 and ODSC 2023 conference comparing Pandas 2, Polars and Dask
  ☆11Updated 9 months ago
• TomBurdge / polari
  Sentiment and language detection for text analytics.
  ☆16Updated 2 months ago
• sktime / sktime-tutorial-pydata-berlin-2022
  ☆40Updated 2 years ago
• FBruzzesi / timebasedcv
  Time based splits for cross validation
  ☆30Updated this week
• ml-toolkits / mlflavors
  A collection of MLflow custom flavors
  ☆12Updated 10 months ago
• oegedijk / rule_estimator
  A scikit-learn compatible estimator based on business-rules with interactive dashboard included
  ☆28Updated 3 years ago
• kvnkho / pydata-timeseries-forecasting
  Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting
  ☆25Updated last year
• astrojuanlu / talk-dataframes
  Talk "Beyond pandas: The great Python dataframe showdown"
  ☆37Updated last year
• smazzanti / valicast
  Validation for forecasts
  ☆18Updated last year
• koaning / scikit-playtime
  Rethinking machine learning pipelines
  ☆17Updated last month
• pymc-labs / research
  Public code & notebooks accompanying our blog posts & YouTube tutorials (https://www.youtube.com/c/PyMCLabs)
  ☆23Updated 4 months ago
• probabl-ai / youtube-appendix
  Resources for some of our education content
  ☆25Updated last week
• sktime / sktime-tutorial-pydata-global-2023
  ☆17Updated 9 months ago
• awesome-panel / panel-modal
  A Modal that works with Panel in both server and notebook environments.
  ☆19Updated 9 months ago
• alexhallam / tablespoon
  🥄✨Time-series Benchmark methods that are Simple and Probabilistic
  ☆42Updated 10 months ago
• NatanMish / data_validation
  Tutorial for implementing data validation in data science pipelines
  ☆31Updated 2 years ago
• fonnesbeck / bayesian_workflow
  ☆14Updated this week
• koaning / scikit-prune
  Prune your sklearn models
  ☆19Updated last year
• mattharrison / 2023-Pycon-Polars
  Intro to Polars Tutorial
  ☆19Updated last year
• stochasticsolutions / mpi4py-pydatalondon
  Code and Slides for PyData London 2022 Tutorial on MPI and Python
  ☆11Updated 2 years ago
• FBruzzesi / sklearn-smithy
  Toolkit to forge scikit-learn compatible estimators
  ☆17Updated 2 weeks ago
• lorentzenchr / model-diagnostics
  Tools for diagnostics and assessment of (machine learning) models
  ☆25Updated last month
• khuyentran1401 / prefect-docker
  Demo on how to use Prefect with Docker
  ☆26Updated 2 years ago
• Nixtla / coreforecast
  Fast implementations of common forecasting routines
  ☆30Updated this week
• pymc-devs / pymc-data-umbrella
  Website: Data Umbrella & PyMC open source sessions
  ☆26Updated 3 months ago
• fugue-project / tune
  An abstraction layer for parameter tuning
  ☆36Updated 2 weeks ago
• Techtonique / nnetsauce
  Statistical/Machine Learning using Randomized and Quasi-Randomized (neural) networks (currently Python & R)
  ☆12Updated this week
• martinchristen / pyconde2023
  Notebooks for the tutorial of the PyCon.DE 2023 Conference
  ☆13Updated last year
• mattharrison / 2023-scipy-pandas
  2023 Scipy Pandas tutorial
  ☆18Updated last year