PacktPublishing / Interpretable-Machine-Learning-with-Python-2ELinks
Interpretable ML with Python, 2E - published by Packt
☆98Updated last week
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
Sorting:
- Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt☆211Updated last week
- Mastering NLP from Foundations to LLMs, Published by Packt☆112Updated last week
- ☆140Updated last week
- Python Feature Engineering Cookbook, Third Edition, published by Packt☆60Updated last week
- Applied Machine Learning Explainability Techniques, published by Packt☆246Updated last week
- Python Feature Engineering Cookbook Second Edition, published by Packt☆83Updated last week
- ☆242Updated last week
- Machine Learning Engineering with Python☆185Updated last week
- Machine Learning for Time-Series with Python.Published by Packt☆292Updated last week
- Machine Learning for Imbalanced Data, published by Packt☆277Updated last week
- Time Series Analysis with Python Cookbook, Second Edition - Published by Packt☆45Updated last week
- ☆58Updated last year
- Code repository for the book feature selection in machine learning☆33Updated 5 months ago
- Code Repository for The Kaggle Workbook, Published by Packt☆128Updated last week
- A repo for the book 'Streamlit for Data Science' by Tyler Richards☆230Updated last year
- Code for the new Manning book on machine learning on tabular datasets☆50Updated 7 months ago
- ☆286Updated 2 years ago
- Building Statistical Models in Python, Published by Packt☆33Updated last week
- Source Code for 'Advanced Forecasting with Python' by Joos Korstanje☆73Updated 3 years ago
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆102Updated 2 years ago
- Forecasting: Principles and Practice☆61Updated 4 years ago
- Modern Time Series Forecasting with Python, published by Packt☆528Updated last week
- Time Series Analysis with Python Cookbook, published by Packt☆283Updated last week
- Interpretable Machine Learning with Python, published by Packt☆471Updated last week
- Slides for "Feature engineering for time series forecasting" talk☆61Updated 2 years ago
- A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)☆90Updated 2 years ago
- A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.☆168Updated 11 months ago
- Includes material (code + description) that I turned into notebooks☆51Updated last year
- Deep Learning with TensorFlow and Keras – 3rd edition, Published by Packt☆208Updated last week
- Debugging Machine Learning Models with Python, published by Packt☆60Updated last week