The challenge: You have been provided a data set made up of housing features and their target price. The data set contains 1460 observations and 26 features. Use the CW_1_Appendix document to understand the dataset provided to you. Your task is to develop a machine learning model to predict/estimate house prices based on their features.
The aim of this coursework is to design, implement and evaluate an effective machine learning pipeline for predicting house prices. The specific tasks and corresponding mark scheme are given in the table below. It is up to you how you approach this problem, design a solution and write-up your results. For each task, the mark within the grade boundary will be based on your description in your report, results and code.