Burmese Handwritten Digits Dataset (inspired by MNIST dataset)
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Updated
Dec 9, 2024 - Jupyter Notebook
Burmese Handwritten Digits Dataset (inspired by MNIST dataset)
This repository contains my machine learning models implementation code using streamlit in the Python programming language.
Recognize Digits
The Learning Vector Quantization 3 (LVQ 3) classification to digits data.
✍️ Machine Learning Classifiers with Iris and Handwritten Digits Datasets.
sklearn digits dataset with jitter
Machine learning project that classifies handwritten digits using SVM algorithm
Repository designed to store algorithms focused on artificial intelligence developed during the UTFPR computer science course
The purpose of this project is to build a classification model that can recognize digits as accurately as possible. The datasets used for this project are the sklearn's mnist and digits dataset.
Digits Dataset Classification by some of the most known algorithms with some Visualization.
My supplementary teaching material for Artificial Intelligence course.
Classification of handwritten digits using classical machine learning methods with model optimization and evaluation on the Scikit-learn Digits dataset
A Python project that implements the k-Nearest Neighbors (k-NN) algorithm from scratch and compares it with scikit-learn’s version. Trained on the Handwritten Digits dataset (8x8 images of digits 0–9), with accuracy evaluation and visualization of predictions.
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