This repository contains machine learning projects and assignments developed as part of coursework and practice in data processing and analytics.
A machine learning project focused on predicting Alzheimer’s Disease diagnosis using patient data.
The project applies supervised learning models such as:
- K-Nearest Neighbors (KNN)
- Decision Tree Classifier
The workflow includes data preprocessing, model training, hyperparameter tuning, evaluation, and comparison using metrics such as accuracy, precision, recall, F1-score, and confusion matrices.
This repository also includes two separate machine learning notebooks:
-
DecisionTree_Assigememt_patrikaki.ipynb
A notebook focused on the implementation and evaluation of a Decision Tree model. -
KNN_patrikaki.ipynb
A notebook focused on the implementation and evaluation of the K-Nearest Neighbors algorithm.