ANALYTICS 3: Big Data and Data Analytics Assignment Solution Report

This assignment solution for ANALYTICS 3 focuses on big data and data analytics, addressing key concepts and practical applications. The solution explores ensemble learning in R, demonstrating the building of ensemble models using gbm, rpart, and treebag algorithms. It covers the process of harvesting probabilities and building a blender model to enhance performance. The assignment also delves into machine learning basics, including multiple and linear regression models, and text classification using naive Bayes. Furthermore, it discusses the security of machine learning systems and explores the application of natural language processing (NLP) for text analysis in R, including topic modeling and music classification. The document provides code examples and explanations for each step, offering a comprehensive understanding of the topics covered.