MNIST-Handwritten-Digit-Recognition

The prediction of MNIST Handwritten Digits has been done using ML Algorithms like SVM, KNN, Logistic Regression and MLP. Different kinds of transformations has been done and the algorithms have been applied for the transformed data. One-Way ANOVA has been done for comparison of algorithms. Includes Real-time digit recognizer.

Libraries used:

NumPy Pandas Matplotlib Streamlit Keras Gradio

Algorithms Used

Support Vector Machine (SVM) KNN Logistic Regression Multi-layer Perceptron

Output Screenshots