Alternatives and similar repositories for 2020F-AC295

Users that are interested in 2020F-AC295 are comparing it to the libraries listed below

• amueller / aml
  Applied Machine Learning with Python
  ☆80Updated last year
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆50Updated 2 years ago
• MaartenGr / UnitTesting
  Guide for applying Unit Testing in data-driven projects
  ☆19Updated 5 years ago
• dennisbakhuis / Tutorials
  Jupyter Notebooks and other material from tutorial sessions on Machine Learning, Data Science, and related
  ☆56Updated 3 years ago
• fastforwardlabs / structural-time-series
  Structural Time Series on US electricity demand data
  ☆22Updated 4 years ago
• aromain / intermarche_challenge
  [Intemarché] Sales forecasting challenge
  ☆11Updated 4 years ago
• sktime / sktime-tutorial-pydata-berlin-2022
  ☆38Updated 2 years ago
• coiled / data-science-at-scale
  A Pythonic introduction to methods for scaling your data science and machine learning work to larger datasets and larger models, using th…
  ☆115Updated 2 years ago
• juanitorduz / ml_prod_tutorial
  Explore tips and tricks to deploy machine learning models with Docker.
  ☆13Updated last year
• AllenDowney / BayesianInferencePyMC
  Workshop on Bayesian inference using PyMC
  ☆27Updated 3 years ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆35Updated 3 years ago
• lesteve / euroscipy-2019-scikit-learn-tutorial
  ☆29Updated 5 years ago
• Harvard-IACS / 2019-computefest
  ☆28Updated 6 years ago
• thejat / mlops-code-examples
  ☆24Updated last month
• DrDub / artfeateng
  Code for the book Art of Feature Engineering
  ☆32Updated 3 years ago
• smazzanti / valicast
  Validation for forecasts
  ☆18Updated 2 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆25Updated 5 years ago
• PySloth / pysloth
  A Python Package for Probabilistic Prediction
  ☆22Updated 4 years ago
• ritchie46 / vanilla-machine-learning
  vanilla machine learning
  ☆110Updated last year
• tirthajyoti / ML-apps-with-Streamlit
  Building simple ML apps with Streamlit
  ☆24Updated 4 years ago
• btrotta / kaggle-m5
  Top 3% solution for Kaggle M5 Accuracy competition
  ☆23Updated 4 years ago
• fonnesbeck / probabilistic_python
  PyData London 2022 Tutorial
  ☆66Updated 3 years ago
• oegedijk / rule_estimator
  A scikit-learn compatible estimator based on business-rules with interactive dashboard included
  ☆28Updated 3 years ago
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆52Updated 3 years ago
• kvnkho / pydata-timeseries-forecasting
  Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting
  ☆27Updated 2 years ago
• fastai / ethics.fast.ai
  The fast.ai data ethics course
  ☆16Updated 2 years ago
• klemag / pydataLDN_2019-maintainable-code-for-data-science
  ☆47Updated 5 years ago
• thejat / mlops-notebooks
  ☆65Updated last month
• ag-ds-bubble / tseuler
  A library for Time-Series exploration, analysis & modelling.
  ☆17Updated 4 years ago
• JesperDramsch / ml.recipes
  Increase citations, ease review & collaboration A collection of "easy wins" to make machine learning in research reproducible. This tut…
  ☆74Updated 6 months ago