Skip to content

Latest commit

 

History

History
13 lines (7 loc) · 673 Bytes

README.md

File metadata and controls

13 lines (7 loc) · 673 Bytes

Machine_Learning

This repository covers all project materials of University of Pennsylvania MSSP 608 Practical Machine Learning.

Project 1 - LendingClub.ipynb: use decision tree classifier to predict loan acceptance.

Project 2 - LendingClub Optimization.ipynb: use feature engineering and parameter tuning to optimize the model.

Project 3 - Sentiment Analysis.ipynb: use Natural Language Processing (NLP) for sentiment prediction.

Project 4 - Unsupervised Ml.ipynb: use unsupervised dimensionality reduction and unsupervised clustering.

Project 5 - Fairness Auditing.ipynb: use false positive and false negative rates to examine model fairness.