This repository is part of a course on ElasticSearch in Python. It includes notebooks that demonstrate its usage, along with a YouTube series to guide you through the material.

Arrhythmia beat classification is an active area of research in ECG based clinical decision support systems. In this paper, Pruned Fuzzy K-nearest neighbor (PFKNN) classifier is proposed to classify ...

This project focuses on classifying Iris flowers into different species using machine learning techniques. The classification model is built using Jupyter Notebook and deployed using Streamlit. This ...

Abstract: K-nearest neighbor (KNN) is a popular classification algorithm with good scalability, which has been widely used in many fields. When dealing with imbalanced data, minority examples are ...

Abstract: KNN algorithm is a classification algorithm based on examples. For a test documentation, we need to calculate the similarity with each text of the training sample focus, the computation ...