Abstract: This research classifies the smoker status dataset using two algorithms, i.e., Support Vector Machine (SVM) and K-Nearest Neighbors (KNN). Researchers used several kernels in the SVM model: ...

Explore the first part of our series on sleep stage classification using Python, EEG data, and powerful libraries like Sklearn and MNE. Perfect for data scientists and neuroscience enthusiasts!

In an era of rapidly growing multimedia data, the need for robust and efficient classification systems has become critical, specifically the identification of class names and poses or styles. This ...

The fightback against the misuse of ultra-processed food (UPF) and NOVA classification terminology to demonise food and drinks confused as ‘unhealthy’ by consumers has begun. An open-letter penned and ...

Urban transportation management increasingly relies on Intelligent Transportation Systems (ITS), where Vehicle Make and Model Recognition (VMMR) plays a vital role in surveillance, traffic monitoring, ...

This Iris classification webapp is made using sklearn and streamlit library in Python. Random Forest Classifier model is used to classify.

Abstract: Machine learning is about prediction on unseen data or testing data and a set of algorithms are required to perform task on machine learning. There are three types of machine learning are ...