a-data-odyssey / XAI-tutorialLinks
A course on explainable AI with Python
☆40Updated last year
Alternatives and similar repositories for XAI-tutorial
Users that are interested in XAI-tutorial are comparing it to the libraries listed below
Sorting:
- Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt☆216Updated last month
- Interpretable ML with Python, 2E - published by Packt☆105Updated last month
- Slides for "Feature engineering for time series forecasting" talk☆63Updated 3 years ago
- Code repository for the online course Machine Learning Interpretability☆29Updated last year
- Code repository for the online course "Feature Engineering for Time Series Forecasting".☆195Updated 2 years ago
- A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.☆169Updated last year
- Tutorials on creating a reproducible and maintainable data science project☆150Updated 3 years ago
- Code repository for the book feature selection in machine learning☆38Updated 8 months ago
- Python Feature Engineering Cookbook, Third Edition, published by Packt☆65Updated this week
- Predict if a reservation will be canceled using robust Machine Learning pipelines with Airflow and Mlflow☆64Updated last year
- Applied Machine Learning Explainability Techniques, published by Packt☆246Updated this week
- Notebooks/scripts for youtube tutorials☆68Updated last year
- Machine Learning for Time-Series with Python.Published by Packt☆305Updated this week
- Repository for the book Simplifying Machine Learning with PyCaret.☆66Updated 2 years ago
- References to the Medium articles☆86Updated 3 years ago
- Modern Time Series Forecasting with Python 2E, Published by Packt☆185Updated this week
- Code used to obtain results for my medium articles☆76Updated 2 years ago
- Machine Learning for Imbalanced Data, published by Packt☆277Updated this week
- Machine Learning for Streaming Data with Python, published by Packt☆73Updated this week
- Feature engineering package with sklearn like functionality☆56Updated last year
- Code repository for the course "Forecasting with Machine Learning Models"☆28Updated 9 months ago
- Practical Guide to Applied Conformal Prediction, published by Packt☆193Updated last month
- Code repository for the online course Feature Selection for Machine Learning☆336Updated last year
- ☆25Updated last year
- ☆292Updated 2 years ago
- Forecasting: Principles and Practice☆61Updated 4 years ago
- Forecasting: principles and practice in python☆199Updated 2 years ago
- ☆58Updated last year
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆104Updated 2 years ago
- Examples of python neural net and ML stock prediction methods with sample stock data.☆270Updated last year