Data Analytics in Machine Learning

Abstract

Modern technology depends on data analytics and machine learning (ML), which provide vital insights and enable wise decision-making in many different fields.   Data analytics and machine learning techniques together have transformed the processing and analysis of large datasets to provide valuable insights for companies.   By analysing the functions performed by different data pre-treatment techniques, ML algorithms, and assessment criteria used to enhance models, this study paper investigates the link between data analytics and machine learning.  Data analytics for machine learning includes all aspects of cleansing data, feature selection, and model training.  The paper also discusses ethical issues and the need of understanding.  This paper shows how data analytics might enhance machine learning results by means of a mix of theoretical study and pragmatic examples.  It also covers its uses in several sectors, including cybersecurity, banking, healthcare, and marketing.