nced-Digit-Classification-using-Data-Augmentation
所属分类：内容生成
开发工具：Jupyter Notebook
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上传日期：2023-09-16 19:21:10
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sh-1993
说明： 在测试数据上的数字预测精度超过97%。，
(digit prediction with more than 97 percent accuracy on test data.,)
文件列表:
main.ipynb (44708, 2023-09-16)
## Developed a robust digit classification system using the MNIST dataset with an emphasis on data augmentation and model diversity.
## Implemented data augmentation techniques by shifting images in four directions to expand the dataset.
## Achieved an average accuracy of approximately 97.3% for both Random Forest and KNN.
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