Alternatives and similar repositories for data-science-python-dask

Users that are interested in data-science-python-dask are comparing it to the libraries listed below

• AlexIoannides / ml-workflow-automation
  Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…
  ☆62Updated 2 years ago
• exploripy / exploripy
  Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.
  ☆51Updated 2 years ago
• taknev83 / pywedge
  Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking
  ☆55Updated 3 years ago
• G-Hung / model-productization_article
  This is repo to demonstrate how to convert from Jupyter Notebook to scripts with some engineering practices
  ☆84Updated 2 years ago
• MaartenGr / feature-engineering
  Tips for Advanced Feature Engineering
  ☆53Updated 5 years ago
• WillKoehrsen / mastering-large-datasets
  Work for Mastering Large Datasets with Python
  ☆20Updated 2 years ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆35Updated 3 years ago
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆49Updated 2 years ago
• amueller / aml
  Applied Machine Learning with Python
  ☆80Updated last year
• DunderData / Tutorials
  Python data science and machine learning from Ted Petrou with Dunder Data
  ☆55Updated 2 years ago
• amueller / dabl
  Data Analysis Baseline Library
  ☆133Updated 10 months ago
• ryanmark1867 / deep_learning_for_structured_data
  Production repo to accompany Deep Learning with Structured Data book from Manning: https://www.manning.com/books/deep-learning-with-struc…
  ☆73Updated 3 years ago
• d6t / d6tflow-template
  Project template for highly effective data science workflows
  ☆29Updated last year
• 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
• AutoViML / lazytransform
  Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.
  ☆65Updated 6 months ago
• Ashton-Sidhu / aethos
  Automated Data Science and Machine Learning library to optimize workflow.
  ☆104Updated 2 years ago
• trangel / stats-with-python
  Learning statistics with Python
  ☆53Updated 4 years ago
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆40Updated 2 years ago
• solegalli / feature_engine
  Feature engineering package with sklearn like functionality
  ☆55Updated 11 months ago
• jrzaurin / ml-pipeline
  Using Kafka-Python to illustrate a ML production pipeline
  ☆112Updated 2 years ago
• erykml / isolation_forest_example
  Example of implementing Isolation Forest in Python
  ☆26Updated 7 years ago
• MaartenGr / UnitTesting
  Guide for applying Unit Testing in data-driven projects
  ☆20Updated 5 years ago
• Spratiher9 / Sparkora
  Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟
  ☆53Updated 3 years ago
• NITRO-AI / NitroFE
  NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …
  ☆107Updated 3 years ago
• thomasjpfan / awesome-python-data-science
  A curated list of Python libraries used for data science.
  ☆90Updated last year
• formlio / forml
  ForML - A development framework and MLOps platform for the lifecycle management of data science projects
  ☆106Updated 2 years ago
• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆40Updated 7 months ago
• DrDub / artfeateng
  Code for the book Art of Feature Engineering
  ☆32Updated 3 years ago
• AlexIoannides / lime-interpretable-ml
  An example of how the LIME algorithm can be used to provide real-world insight into the decision processes of a 'black-box' machine learn…
  ☆15Updated 6 years ago
• AileenNielsen / OReillyHealthcareData
  ☆40Updated 8 years ago