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Agendify
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Machine learning: Linear regression and logistic regression
Implemented a linear regression model with L2 and L1 norm to predict on the sonar dataset. Implemented logistic regression to predict on the auto mpg dataset.
Machine learning: Binary classification
Implemented a binary classification in adjoint form and SVM dual form. Utilized kernel functions to adjust the data for better model predictions.
Machine learning: Multi-class classification
Implemented multi-class classification with multinomial deviance and principle component analysis to predict on the Fashion-MNIST dataset.
Machine learning: CNN
Implemented a CNN to predict on the MNIST dataset with 71% accuracy.