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1. Deep-Learning-using-Linear-Support-Vector-Machines Deep-Learning-using-Linear-Support-Vector-Machines Public

   In this project, we selected a CNN+SVM paper: Deep Learning using Linear Support Vector Machines. We tried to 4 reproduce the result obtained by following the exact method mentioned in this paper. …

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2. GraphGPS GraphGPS Public

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3. PoTPTQ PoTPTQ Public

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4. Classification-of-Image-Data Classification-of-Image-Data Public

   Implementd a Multilayer Perceptron to classify an image data: Fashion-MNIST. For data processing, we loaded the pictures regarding each pixel as a feature and vectorized the data set. To explore ho…

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5. Classification-of-Text-Data Classification-of-Text-Data Public

   Implement naïve Bayes and K-fold cross validation from scratch while using logistic (softmax) regression from scikit-learn package (or optionally implemented from scratch) – and compare these two a…

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6. KNN-and-DT-on-Hepatitis-and-Messidor KNN-and-DT-on-Hepatitis-and-Messidor Public

   Implement KNN and Decision Tree model on two datasets, cross-validations is performed to compare and determine the optimal parameters within each model.

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