TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
GitHub

aaravpillai/text-readability-classifier

This was my project for the unit 'Natural Language Processing for the Creative Industries' at the University of the Arts London during Term 1 of my masters program. Research into the area of text ...
Scientific Research Publishing

Analysing Effectiveness of Sentiments in Social Media Data Using Machine Learning Techniques ()

1 PG & Research Department of Computer Science, D.G.Vaishnav College, Chennai, India. 2 PG Department of IT & BCA, D.G.Vaishnav College, Chennai, India. 3 Department ...
Scientific Research Publishing

Bank Loan Prediction Using Machine Learning Techniques ()

Banks are important for the development of economies in any financial ecosystem through consumer and business loans. Lending, however, presents risks; thus, banks have to determine the applicant’s ...
IEEE

Improving the Accuracy by Comparing the Gaussian Naive Bayes Algorithm and Logistic Regression for Predicting Hate Speech Recognition

Abstract: Comparing the Novel Gaussian Naive Bayes method with Logistic Regression for Hate Speech Prediction with the aim of increasing accuracy. Materials and Methods: This proposed Machine learning ...
GitHub

johndeweyzxc/Multinomial-Naive-Bayes

A Multinomial Naive Bayes Classifier is a type of Naive Bayes algorithm used primarily for text classification tasks, such as spam detection, sentiment analysis, and document categorization. It is ...