Machine Learning for Public Policy
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Introduction
Introduction
An Introduction to R Programming
An introduction to Python programming
Content
Prediction Framework/OLS
Lasso/Regularization/Parameter tuning
Classification with Logistic Regression
Tree-based models for classification problems
Forecasting (Coming soon)
Algorithmic Fairness
ML and Causality (Coming soon)
An Introduction to Neural Networks
More complex architectures and pre-trained models (Coming soon)
NLP - Classification (Coming soon)
NLP - Querying Text Databases (Coming soon)
Public data, biases, and synthetic data (Coming soon)
Policy Challenge
2024
2025
About
Contact
ML and Causality
This session is under construction
