Alternatives and similar repositories for SEforDS:

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

• RamiKrispin / Introduction-to-Docker
  (WIP) Getting started with Docker - An introduction to Docker with data science and engineering applications
  ☆129Updated last year
• RamiKrispin / ai-dev-2024-ml-workshop
  Materials for the AI Dev 2024 conference workshop "Deploy and Monitor ML Pipelines with Python, Open Source, and Free Applications"
  ☆93Updated this week
• derevirn / pycaret-book
  Repository for the book Simplifying Machine Learning with PyCaret.
  ☆62Updated last year
• RamiKrispin / awesome-ds-setting
  A tutorial for setting a new machine with core data science tools
  ☆288Updated last month
• PacktPublishing / Data-Analysis-with-Polars
  Data Analysis with Polars, Published by Packt
  ☆32Updated 4 months ago
• tylerjrichards / Streamlit-for-Data-Science
  A repo for the book 'Streamlit for Data Science' by Tyler Richards
  ☆209Updated last year
• solegalli / feature-selection-in-machine-learning-book
  Code repository for the book feature selection in machine learning
  ☆27Updated 2 weeks ago
• PacktPublishing / Data-Cleaning-and-Exploration-with-Machine-Learning
  Data Cleaning and Exploration with Machine Learning
  ☆53Updated 2 years ago
• adrianolszewski / model-based-testing-hypotheses
  Testing hypotheses through statistical models opens a universe of new possibilities. Learn how to improve your daily work with this appro…
  ☆74Updated last year
• baniasbaabe / learning-data-science
  Curated collection of awesome resources and tutorials for mastering Data Science, Machine Learning, Deep Learning, and Python.
  ☆48Updated 4 months ago
• 6chaoran / jupyter-summarytools
  summarytools in jupyter notebook
  ☆103Updated 5 months ago
• RamiKrispin / pydata-ny-ga-workshop
  Materials for the Deploy and Monitor ML Pipelines with Python, Docker and GitHub Actions workshop at the PyData NYC 2024 conference
  ☆79Updated this week
• PacktPublishing / Polars-Cookbook
  Polars Cookbook, Published by Packt
  ☆317Updated 3 months ago
• nikitaprasad21 / ML-Cheat-Codes
  Machine Learning Cheatsheet 2024
  ☆134Updated 4 months ago
• realmistic / economics-workshop-dec-2024
  ☆47Updated this week
• PacktPublishing / Interpretable-Machine-Learning-with-Python-2E
  Interpretable ML with Python, 2E - published by Packt
  ☆91Updated 11 months ago
• PacktPublishing / Practical-Machine-Learning-on-Databricks
  Practical Machine Learning on Databricks, published by packt
  ☆16Updated 3 weeks ago
• PacktPublishing / Hands-On-Gradient-Boosting-with-XGBoost-and-Scikit-learn
  Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt
  ☆202Updated 2 years ago
• mattharrison / effective_xgboost_book
  ☆278Updated last year
• PacktPublishing / Cleaning-Data-for-Effective-Data-Science
  Cleaning Data for Effective Data Science, published by Packt
  ☆96Updated 2 years ago
• RamiKrispin / lang2sql
  A tutorial for setting an SQL code generator with the OpenAI API
  ☆244Updated 7 months ago
• Data-drone / ANZ_LLM_Bootcamp
  ☆87Updated 3 weeks ago
• PacktPublishing / Python-Feature-Engineering-Cookbook-Third-Edition
  Python Feature Engineering Cookbook, Third Edition, published by Packt
  ☆51Updated 5 months ago
• manuelgilm / mlflow_for_ml_dev
  Repository with code examples of mlflow
  ☆67Updated this week
• ziritrion / ml-zoomcamp
  ML Zoomcamp fall 2021 homework and stuff
  ☆63Updated 3 years ago
• solegalli / machine-learning-interpretability
  Code repository for the online course Machine Learning Interpretability
  ☆23Updated 4 months ago
• PacktPublishing / Data-Science-Projects-with-Python-Second-Ed
  ☆116Updated 2 years ago
• PacktPublishing / Getting-started-with-Streamlit-for-Data-Science
  Getting started with Streamlit for Data Science, published by Packt
  ☆80Updated 2 years ago
• ysraell / forecasting
  Forecasting: Principles and Practice
  ☆30Updated 3 years ago
• jeremyarancio / reservation_cancellation_prediction
  Predict if a reservation will be canceled using robust Machine Learning pipelines with Airflow and Mlflow
  ☆61Updated last year