Alternatives and similar repositories for Interpretable-Machine-Learning-with-Python-2E

Users that are interested in Interpretable-Machine-Learning-with-Python-2E are comparing it to the libraries listed below

• PacktPublishing / Applied-Machine-Learning-Explainability-Techniques
  Applied Machine Learning Explainability Techniques, published by Packt
  ☆246Updated 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
  ☆212Updated 3 weeks ago
• PacktPublishing / Developing-Kaggle-Notebooks
  ☆140Updated 3 weeks ago
• PacktPublishing / Mastering-NLP-from-Foundations-to-LLMs
  Mastering NLP from Foundations to LLMs, Published by Packt
  ☆112Updated this week
• PacktPublishing / Machine-Learning-Engineering-with-Python
  Machine Learning Engineering with Python
  ☆185Updated 3 weeks ago
• PacktPublishing / Machine-Learning-for-Imbalanced-Data
  Machine Learning for Imbalanced Data, published by Packt
  ☆277Updated 3 weeks ago
• ml-for-high-risk-apps-book / Machine-Learning-for-High-Risk-Applications-Book
  Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications
  ☆102Updated 2 years ago
• PacktPublishing / Machine-Learning-Engineering-with-Python-Second-Edition
  ☆245Updated 3 weeks ago
• BexTuychiev / tricking-data-science
  A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.
  ☆168Updated last year
• PacktPublishing / The-Kaggle-Workbook
  Code Repository for The Kaggle Workbook, Published by Packt
  ☆131Updated 3 weeks ago
• PacktPublishing / Python-Feature-Engineering-Cookbook-Second-Edition
  Python Feature Engineering Cookbook Second Edition, published by Packt
  ☆83Updated 3 weeks ago
• mattharrison / effective_xgboost_book
  ☆288Updated 2 years ago
• gkunapuli / ensemble-methods-notebooks
  A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)
  ☆91Updated 2 years ago
• PacktPublishing / Time-Series-Analysis-with-Python-Cookbook-Second-Edition
  Time Series Analysis with Python Cookbook, Second Edition - Published by Packt
  ☆46Updated 3 weeks ago
• PacktPublishing / Python-Feature-Engineering-Cookbook-Third-Edition
  Python Feature Engineering Cookbook, Third Edition, published by Packt
  ☆62Updated 3 weeks ago
• 5x12 / course-prodml
  ☆59Updated last year
• PacktPublishing / Machine-Learning-for-Time-Series-with-Python
  Machine Learning for Time-Series with Python.Published by Packt
  ☆294Updated 3 weeks ago
• Apress / advanced-forecasting-python
  Source Code for 'Advanced Forecasting with Python' by Joos Korstanje
  ☆73Updated 3 years ago
• PacktPublishing / Interpretable-Machine-Learning-with-Python
  Interpretable Machine Learning with Python, published by Packt
  ☆471Updated 3 weeks ago
• tylerjrichards / Streamlit-for-Data-Science
  A repo for the book 'Streamlit for Data Science' by Tyler Richards
  ☆230Updated last year
• lmassaron / Machine-Learning-on-Tabular-Data
  Code for the new Manning book on machine learning on tabular datasets
  ☆53Updated 7 months ago
• PacktPublishing / Time-Series-Analysis-with-Python-Cookbook
  Time Series Analysis with Python Cookbook, published by Packt
  ☆282Updated 3 weeks ago
• BenWilson2 / ML-Engineering
  Reference code base for ML Engineering, Manning Publications
  ☆131Updated 4 years ago
• VincentGranville / Main
  Main folder. Material related to my books on synthetic data and generative AI. Also contains documents blending components from several f…
  ☆96Updated last year
• PacktPublishing / Debugging-Machine-Learning-Models-with-Python
  Debugging Machine Learning Models with Python, published by Packt
  ☆60Updated 3 weeks ago
• ysraell / forecasting
  Forecasting: Principles and Practice
  ☆61Updated 4 years ago
• VincentGranville / Notebooks
  Includes material (code + description) that I turned into notebooks
  ☆51Updated 2 years ago
• Paulescu / build-and-deploy-real-time-feature-pipeline
  Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.
  ☆134Updated 2 years ago
• solegalli / machine-learning-interpretability
  Code repository for the online course Machine Learning Interpretability
  ☆27Updated 11 months ago
• PacktPublishing / Getting-started-with-Streamlit-for-Data-Science
  Getting started with Streamlit for Data Science, published by Packt
  ☆80Updated 2 years ago