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CSE 176 Machine Learning, Fall 2021 UCMerced
Project 1

Part 1:
Binary classification of subset of MNISTmini dataset (10x10 pixel image data).
Differentiate (4 vs 8) using scikit-learn logistic regression and random forest.

Part 2:
Full MNIST classification using XGBoost/CatBoost
Classify emotions of facial images using XGBoost/CatBoost
Regression of superconductor critical temperatures using XGBoost/CatBoost

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