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.
Repository designed to store algorithms focused on artificial intelligence developed during the UTFPR computer science course
✍️ Machine Learning Classifiers with Iris and Handwritten Digits Datasets.
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.
sklearn digits dataset with jitter
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
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