PacktPublishing / Applied-Machine-Learning-Explainability-TechniquesLinks
Applied Machine Learning Explainability Techniques, published by Packt
☆248Updated last month
Alternatives and similar repositories for Applied-Machine-Learning-Explainability-Techniques
Users that are interested in Applied-Machine-Learning-Explainability-Techniques are comparing it to the libraries listed below
Sorting:
- Practical Deep Learning at Scale with MLFlow, published by Packt☆163Updated last month
- Interpretable Machine Learning with Python, published by Packt☆475Updated this week
- A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.☆170Updated last year
- Code repository for the online course Machine Learning with Imbalanced Data☆186Updated last year
- Code repository for the online course Feature Selection for Machine Learning☆342Updated last year
- Machine Learning for Streaming Data with Python, published by Packt☆73Updated last month
- Code repository for the online course Hyperparameter Optimization for Machine Learning☆139Updated last year
- The repository contains a list of projects which I will work on while learning and implementing MLOps.☆80Updated 3 years ago
- Machine Learning for Imbalanced Data, published by Packt☆277Updated last month
- A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)☆91Updated 2 years ago
- An end-to-end project on customer segmentation☆83Updated 3 years ago
- References to the Medium articles☆86Updated 3 years ago
- Data Science Feature Engineering and Selection Tutorials☆289Updated 3 weeks ago
- Code repository for the book feature selection in machine learning☆40Updated 9 months ago
- ☆151Updated 4 years ago
- Code repository for the online course Feature Engineering for Machine Learning☆409Updated 2 years ago
- Machine Learning Engineering with Python☆187Updated this week
- ☆20Updated 3 years ago
- Example machine learning pipeline with MLflow and Hydra☆95Updated 2 years ago
- Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt☆220Updated this week
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆105Updated 2 years ago
- Demo for CI/CD in a machine learning project☆115Updated 2 years ago
- Comet for Data Science, published by Packt☆42Updated last month
- Middlesex University Dubai: MSc Data Science. Modelling, Regression and Machine Learning track. Instructor: Dr. Ivan Reznikov☆80Updated 2 years ago
- Interpretable ML with Python, 2E - published by Packt☆107Updated 2 months ago
- Tutorials on creating a reproducible and maintainable data science project☆149Updated 3 years ago
- Explainable AI with Python, published by Packt☆165Updated this week
- Machine Learning Engineering with MLflow, published by Packt☆122Updated this week
- Production-Ready Applied Deep Learning☆90Updated this week
- Engineering MLOps, published by Packt☆190Updated last month