a-data-odyssey / XAI-tutorialLinks
A course on explainable AI with Python
☆34Updated 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:
- Code repository for the online course Machine Learning Interpretability☆26Updated 9 months ago
- Slides for "Feature engineering for time series forecasting" talk☆61Updated 2 years ago
- Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt☆211Updated 3 months ago
- Machine Learning for Imbalanced Data, published by Packt☆275Updated 6 months ago
- Code repository for the book feature selection in machine learning☆29Updated 4 months ago
- Code repository for the online course "Feature Engineering for Time Series Forecasting".☆187Updated last year
- Predict if a reservation will be canceled using robust Machine Learning pipelines with Airflow and Mlflow☆63Updated last year
- Interpretable ML with Python, 2E - published by Packt☆98Updated 3 months ago
- Machine Learning for Time-Series with Python.Published by Packt☆292Updated 3 months ago
- A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.☆168Updated 10 months ago
- Notebooks/scripts for youtube tutorials☆64Updated last year
- References to the Medium articles☆87Updated 2 years ago
- Forecasting: principles and practice in python☆177Updated 2 years ago
- Examples of python neural net and ML stock prediction methods with sample stock data.☆271Updated 8 months ago
- Modern Time Series Forecasting with Python 2E, Published by Packt☆156Updated last month
- Tutorials on creating a reproducible and maintainable data science project☆146Updated 3 years ago
- Modern Time Series Forecasting with Python, published by Packt☆529Updated 3 months ago
- Python Feature Engineering Cookbook, Third Edition, published by Packt☆59Updated 3 months ago
- Code repository for the course "Forecasting with Machine Learning Models"☆23Updated 5 months ago
- Repository for the book Simplifying Machine Learning with PyCaret.☆66Updated 2 years ago
- Applied Machine Learning Explainability Techniques, published by Packt☆247Updated last year
- Repository with code examples of mlflow☆207Updated this week
- Interpretable Machine Learning with Python, published by Packt☆468Updated 2 years ago
- Deriving Machine Learning algorithms from first principles.☆37Updated 3 years ago
- Repository with data, starter notebooks, and solution notebooks for my course Applied Time Series Forecasting in Python☆51Updated 2 weeks ago
- ☆22Updated last year
- Une liste de ressources sur tout ce qui touche à la prise de décision : vidéos, tutoriels, livres, documents, thèses, articles, datasets …☆1Updated 11 months ago
- Code for the book "Software Engineering for Data Scientists"☆91Updated 3 weeks ago
- Feature engineering package with sklearn like functionality☆55Updated 11 months ago
- A fine book including tips and tricks around Data Science with Python☆36Updated 2 months ago