harismuneer / Handwritten-Digits-Classification-Using-KNN-Multiclass_Perceptron-SVM

🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.

Date Created 2018-07-03 (6 years ago)
Commits 40 (last one 2 months ago)
Stargazers 62 (0 this week)
Watchers 3 (0 this week)
Forks 18
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RepositoryStats indexes 641,700 repositories, of these harismuneer/Handwritten-Digits-Classification-Using-KNN-Multiclass_Perceptron-SVM is ranked #429,653 (33rd percentile) for total stargazers, and #421,599 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #83,962/131,903.

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updated: 2025-03-08 @ 07:35am, id: 139596782 / R_kgDOCFIT7g