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Updated README with only models and dataset we use
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README.md

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This is our [idea](./Project%20Proposal/Project%20Proposal%20-%20Fernando%20and%20Kelvin.pdf).
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## Datasets
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* [MNIST](https://scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_openml.html)
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* Handwritten Digit Recognition
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* Using scikit-learn's fetch_openml
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* 28x28 Grayscale Images
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* 10 Classes of digits (0-9)
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* [CIFAR-10](https://www.cs.toronto.edu/~kriz/cifar.html)
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* Object Recognition
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* 32x32 Colored Images
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## Models in Consideration
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* **Tree-based Model**: Decision Tree
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* **Linear/Polynomial-based**: Linear Regression (optional)
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* **Permutation-based** (especially, neural networks): Multi-Layer Perceptron (MLP)
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* **(Pixels) Permutation-based** (especially, neural networks): Convolutional Neural Network (CNN)
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* **Kernel-based**: K-Nearest-Neighbor (KNN)
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## Metaheuristic Guided Search

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