Alternatives and similar repositories for pydata_berlin_2022_scikit_learn_tutorial

Users that are interested in pydata_berlin_2022_scikit_learn_tutorial are comparing it to the libraries listed below

• sktime / sktime-tutorial-pydata-berlin-2022
  ☆38Updated 3 years ago
• juanitorduz / btsa
  Berlin Time Series Analysis Repository
  ☆100Updated 2 years ago
• drivendataorg / nbautoexport
  Automatically export Jupyter notebooks to various file formats (.py, .html, and more) on save.
  ☆82Updated 3 weeks ago
• soda-inria / survival-analysis-benchmark
  Exploratory repository to study predictive survival analysis models
  ☆37Updated 2 years ago
• Blue-Yonder-OSS / cyclic-boosting
  implementation of Cyclic Boosting machine learning algorithms
  ☆93Updated last year
• MBrouns / timeseers
  Time should be taken seer-iously
  ☆317Updated 2 years ago
• azukds / tubular
  Python package implementing transformers for pre processing steps for machine learning.
  ☆64Updated this week
• fugue-project / tune
  An abstraction layer for parameter tuning
  ☆35Updated last year
• fonnesbeck / probabilistic_python
  PyData London 2022 Tutorial
  ☆67Updated 3 years ago
• lorentzenchr / model-diagnostics
  Tools for diagnostics and assessment of (machine learning) models
  ☆39Updated 2 months ago
• koaning / scikit-playtime
  Rethinking machine learning pipelines
  ☆33Updated last week
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆225Updated 2 years ago
• carbonfact / icanexplain
  📊 Explain why metrics change by unpacking them
  ☆40Updated 3 months ago
• EthanRosenthal / skits
  scikit-learn-inspired time series
  ☆200Updated last year
• KaveIO / PhiK
  Phi_K correlation analyzer library
  ☆167Updated this week
• williambdean / latent-calendar
  Analyze and model weekly calendar distributions using latent components
  ☆10Updated this week
• koaning / memo
  Decorators that logs stats.
  ☆115Updated 7 months ago
• soda-inria / hazardous
  Competing Risks and Survival Analysis
  ☆107Updated 2 weeks ago
• crmne / cookiecutter-modern-datascience
  Start a data science project with modern tools
  ☆201Updated 2 years ago
• saattrupdan / doubt
  Bringing back uncertainty to machine learning.
  ☆53Updated last year
• NatanMish / data_validation
  Tutorial for implementing data validation in data science pipelines
  ☆33Updated 3 years ago
• ColtAllen / btyd
  Buy Till You Die and Customer Lifetime Value statistical models in Python.
  ☆117Updated last year
• sergiocalde94 / pydrift
  How do we measure the degradation of a machine learning process? Why does the performance of our predictive models decrease? Maybe it is …
  ☆33Updated 4 years ago
• microsoft / CBM
  Cyclic Boosting Machines - an explainable supervised machine learning algorithm
  ☆61Updated last year
• RianneSchouten / pyampute
  Missing data amputation and exploration functions for Python
  ☆72Updated 2 years ago
• poloclub / timbertrek
  Explore and compare 1K+ accurate decision trees in your browser!
  ☆168Updated last year
• hackalog / easydata
  A flexible template for doing reproducible data science in Python.
  ☆110Updated last year
• salimamoukou / acv00
  ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…
  ☆102Updated 3 years ago
• ericmjl / causality
  In which I play with the ideas surrounding causality
  ☆53Updated 3 years ago
• ivanlen / pipreqsnb
  pipreqs with jupyter notebook support
  ☆70Updated 2 years ago