PacktPublishing / Debugging-Machine-Learning-Models-with-PythonLinks
Debugging Machine Learning Models with Python, published by Packt
☆61Updated last week
Alternatives and similar repositories for Debugging-Machine-Learning-Models-with-Python
Users that are interested in Debugging-Machine-Learning-Models-with-Python are comparing it to the libraries listed below
Sorting:
- Time Series Analysis with Python Cookbook, Second Edition - Published by Packt☆53Updated last week
- Code Repository for The Kaggle Workbook, Published by Packt☆136Updated last week
- The Regularization Cookbook, published by Packt☆14Updated last week
- Interpretable ML with Python, 2E - published by Packt☆105Updated last month
- Data Cleaning and Exploration with Machine Learning☆62Updated last week
- A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)☆91Updated 2 years ago
- Inside Deep Learning: The math, the algorithms, the models☆269Updated 2 years ago
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆104Updated 2 years ago
- Mastering NLP from Foundations to LLMs, Published by Packt☆116Updated this week
- The repo associated with the Manning Publication☆124Updated 9 months ago
- Machine Learning for Streaming Data with Python, published by Packt☆73Updated last week
- Production-Ready Applied Deep Learning☆91Updated last week
- Practical Deep Learning at Scale with MLFlow, published by Packt☆163Updated last week
- B21145 - Deep Learning for Time Series Data Cookbook☆70Updated last week
- Code for the new Manning book on machine learning on tabular datasets☆62Updated last month
- ☆255Updated last month
- Python Feature Engineering Cookbook, Third Edition, published by Packt☆65Updated last week
- Dockerized Jupyter notebook to run commands from the ML Python Cookbook☆56Updated 2 years ago
- Building Statistical Models in Python, Published by Packt☆34Updated last week
- Machine Learning Engineering with Python☆185Updated last week
- Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt☆216Updated last week
- Jupyter notebooks for the code samples of the book "Automated Machine Learning in Action"☆99Updated 2 years ago
- The accompanying code for the book "Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits". A practical guide to imp…☆134Updated last week
- Reference code base for ML Engineering, Manning Publications☆132Updated 4 years ago
- Cleaning Data for Effective Data Science, published by Packt☆100Updated last week
- Applied Machine Learning Explainability Techniques, published by Packt☆246Updated last week
- ☆12Updated 2 years ago
- Code Repository for The Kaggle Book 2nd Edition, Published by Packt☆26Updated 2 weeks ago
- Natural Language Processing with Large Language Models☆112Updated last year
- Natural Language Understanding with Python published by Packt Publishing☆41Updated 2 years ago