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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. …

    Jupyter Notebook 1

  2. GraphGPS GraphGPS Public

    Python 1

  3. 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…

    Jupyter Notebook

  4. 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…

    Jupyter Notebook

  5. 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.

    Jupyter Notebook

  6. Colosseum-Survival-Game-Agent Colosseum-Survival-Game-Agent Public

    Design and implementation of an AI agent for a game competition similar to Go. Take the inspiration from Alpha Zero and use learning heuristic evaluation to play depends on situation.

    Python