Machine Learning model for Binary classification
Introduction
The objective of the project is to apply a Machine Learning model for Binary classification onto two different datasets:
Banknote Authentication Dataset: https://archive.ics.uci.edu/ml/datasets/banknote+authentication
Chronic Kidney Disease: https://www.kaggle.com/mansoordaku/ckdisease
Description
This project focuses on developing collaborative Machine Learning workflows. The objective is to implement binary classification models on datasets such as the Banknote Authentication Dataset and Chronic Kidney Disease Dataset. We will apply the ML workflow—data import, cleaning, splitting, training, validation—and collaborate using GIT for version control.