Class #6 - Overfitting, Underfitting & Cross-Validation - in this class we discuss model fit (overfitting + underfitting) and cross validation
Instructors
Daniel Martin Katz <CV> <SSRN> <arXiv>
Michael J. Bommarito <CV> <SSRN> <arXiv>
Course Schedule
0. Review Materials (Intro to Stats, Regression, etc.)
1. Introduction to Legal Analytics
2. Introduction to Machine Learning for Lawyers
3. R Tutorials <Install> <Part1> <Part2> <Bonus>
4. Github and RMarkdown Tutorial
5. QLP + Data Driven Law Practice
6. Overfitting, Underfitting, & Cross-Validation
7. Binary Classification w/ Decision Tree Learning
8. Ensemble Models including Random Forests
9. Clustering (K-Means & Hierarchical Clustering)
10. Data Visualization and DataViz in R
11. Network Analysis and Law
12. Data Preprocessing and Cleaning using dPlyR
13. Natural Language Processing (NLP) Overview
14. Applied Legal Analytics - NLP on Contracts
15. Applied Legal Analytics - Judicial Prediction
16. Advanced Topics - Lasso, Ridge Regression
17. Advanced Topics - Kernels & SVM
18. Advanced Topics - EM Algorithm
19. Advanced Topics - KNN + Naive Bayes
20. Advanced Topics - Neural Networks
21. Advanced Topics - Intro to Deep Learning
22. Intro to Machine Learning as a Service (MLaaS)
23. MLaaS and the Shifting Economics of #BigData