pdoup / ATML-notebooks

Proposed assignment notebooks for Advanced Topics in Machine Learning tasks

active-learning cost-sensitive-learning imbalanced-data machine-learning multi-instance-learning multi-label-classification numpy scikit-learn

ATML-notebooks

Proposed assignment notebooks for the Advanced Topics in Machine Learning course

Assignment 1

Cost-sensitive learning & Class Imbalance using the UCI Heart Dataset and the Credit Card fraud dataset (imbalance)

Assignment 2

Multi Label/Instance Learning using the DeliciousMIL dataset

Assignment 3

Active Learning and Interpretability using the Diabetes dataset

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Proposed assignment notebooks for Advanced Topics in Machine Learning tasks

active-learning cost-sensitive-learning imbalanced-data machine-learning multi-instance-learning multi-label-classification numpy scikit-learn

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Language:Jupyter Notebook 100.0%