Models4Learning

M4L is a collection of analyses about various machine learning models. The goal is to provide a comprehensive overview of the models, their applications, and their implementations. The analyses are written in Jupyter notebooks.

Models

The following models are currently included:

Regressors

• Linear
• Decision Tree
• Random Forest
• XGBoost

NLP

• Skip-Gram
• Deep Averaging Network
• Gated Recurrent Unit
• DistilBERT
• GPT-3