Alternatives and similar repositories for python-sklearn-classifier-cookiecutter

Users that are interested in python-sklearn-classifier-cookiecutter are comparing it to the libraries listed below

• microsoft / python-sklearn-clustering-cookiecutter
  Cookiecutter template for testing Python scikit-learn clustering learners.
  ☆15Updated 3 years ago
• microsoft / python-sklearn-regression-cookiecutter
  Cookiecutter template for testing Python scikit-learn regression learners.
  ☆14Updated 2 years ago
• duarteocarmo / automation-post
  📝 A blog post about report generation and automation in python
  ☆40Updated 6 years ago
• ploomber / projects
  Sample projects using Ploomber.
  ☆86Updated last year
• Aseem139 / pandas_cheatsheet
  A downloadable pdf containing summary of frequently used pandas operations.
  ☆10Updated 4 years ago
• navdeep-G / interpretable-ml
  Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
  ☆21Updated 3 years ago
• wrighter / python_blogposts
  Blog posts I've created about python, pandas, and related topics as a series of notebooks.
  ☆23Updated 2 years ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆35Updated 3 years ago
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆40Updated 2 years ago
• formlio / forml
  ForML - A development framework and MLOps platform for the lifecycle management of data science projects
  ☆106Updated 2 years ago
• jacquessham / DashExamples
  Demonstrate how to use Dash by Plotly and Plotly to create dashboard or visualization in Python.
  ☆12Updated 10 months ago
• astrojuanlu / talk-dataframes
  Talk "Beyond pandas: The great Python dataframe showdown"
  ☆37Updated 2 years ago
• jseabold / pandas-selectable
  A `select` accessor for easier subsetting of pandas DataFrames and Series
  ☆34Updated 2 years ago
• AnalyticsInsightsNinja / Python_TidyData
  How to use Python to understand data and transform the data into a tidy format ready to be used for modelling and visualisation.
  ☆36Updated 6 years ago
• omegaml / omegaml
  MLOps simplified. One-stop AI delivery platform, all the features you need.
  ☆100Updated this week
• mljar / mljar-examples
  Examples how MLJAR can be used
  ☆60Updated last year
• FredaXin / eda_and_beyond
  Library of automation tools for EDA and modeling
  ☆27Updated 4 years ago
• maladeep / data-quality-checker
  Check the basic quality of any dataset
  ☆11Updated 4 years ago
• 8080labs / showcases
  A collection of Python scripts
  ☆13Updated 5 years ago
• saturncloud / saturn-cloud-examples
  ☆19Updated 4 years ago
• firmai / python-for-finance
  ☆14Updated 6 years ago
• deshaw / jupyterlab-pyflyby
  A labextension to integrate pyflyby with notebooks
  ☆13Updated last week
• alteryx / predict-correct-answer
  Predict whether a student will correctly answer a problem based on past performance using automated feature engineering
  ☆32Updated 5 years ago
• FavioVazquez / ds-optimus
  How to do data science with Optimus, Spark and Python.
  ☆19Updated 6 years ago
• taknev83 / pywedge
  Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking
  ☆55Updated 3 years ago
• knime / knimepy
  ☆47Updated 2 years ago
• MuttData / muttlib
  ☆30Updated last year
• andersbogsnes / pydata-london-2022-sqlalchemy-tutorial
  My tutorial on SQLAlchemy for Pydata London 2022 Conference
  ☆24Updated 3 years ago
• exploripy / exploripy
  Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.
  ☆51Updated 2 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆26Updated 5 years ago