The adoption of Machine learning (including deep learning) and advanced statistical methods can be made easier with well-documented tutorials. This repo intends to provide detailed tutorials on the use of ML/DL/Stats framworks/packages for machine learning:
- XAI (explainable AI)
- AutoML
- Scikit-learn
- Keras and Tensorflow
- H2O.ai
- Others
In addition, there are miscellaneous tutorials on many different but relevant aspects. Below are a brief summary:
- Optimization
- Time-series analysis
- Bootstrap
- Others