House Pricing-Data Analysis using R

Summary: The task involves analyzing a dataset named "house-data.csv" from the perspective of classification, prediction, and validation using the R programming language. As a data analyst at an estate agency, the goal is to leverage machine learning techniques to gain insights into the housing market. The analysis covers tasks such as classification, prediction, and validation. The report should include R code in an Appendix, ensuring it runs without errors. The answers to questions should be well-explained, methods justified, and findings commented on throughout the analysis. The focus is on a comprehensive statistical exploration of the dataset to inform the understanding of the housing market.