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This repository covers essential tools for machine learning with python, including but not limited to supervised and unsupervised models, natural language processing (NLP), and fairness auditing.

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karenyxwang/Machine_Learning

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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.

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This repository covers essential tools for machine learning with python, including but not limited to supervised and unsupervised models, natural language processing (NLP), and fairness auditing.

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