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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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