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Machine Learning using SVM Classifier and Visualization on USPS Dataset

License: GNU General Public License v3.0

Jupyter Notebook 98.87% Python 1.13%
support-vector-machines svm-classifier machine-learning machine-learning-algorithms scikit-learn visualization matplotlib usps-dataset handwritten-digit-recognition python matploblib numpy pandas google-colab-notebook

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Machine-Learning-using-SVM-Classifier-and-Visualization-on-USPS-Dataset

Machine Learning using SVM Classifier and Visualization on USPS Dataset

Getting started with USPS dataset

Handwitten Digits USPS dataset has 7291 train and 2007 test images. The images are 16*16 grayscale pixels.

The dataset is given in hdf5 file format, the hdf5 file has two groups train and test and each group has two datasets: data and target.

Demonstration of how to load USPS dataset, visualize and build a linear SVM classifier on it and predict accuracy.

Reference:

Kaggle Example

NOTE: Do not Plagiarise | Submitted Report for project | Strict checks in place

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