🏆 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.
svm
machine-learning-algorithms
mnist-dataset
logistic-regression
support-vector-machines
knn
artificial-neural-network
handwritten-digit-recognition
k-nearest-neighbours
supervised-machine-learning
support-vector-classifier
perceptron-learning-algorithm
sigmoid-function
delta-rule
mnist-classification-logistic
comparative-study
multiclass-perceptron
learning-algorithms-comparison
accuracy-analysis
efficiency-analysis
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Updated
Jan 17, 2021 - Python