In this assignment you are required to build a model for fault detection. Sensors data were captured from an engine during normal and fault conditions. The data is provided to you in the link below: https://www.dropbox.com/s/utq55a3bszh52ib/Assessment3_data.csv?dl=0 In this file every row corresponds to a measurement taken at a certain time instant. There are 11 columns where the first 10 are the measured variables and the last column is the class. The class takes the values of 0 or 1 where 0 represents a faulty condition and 1 represents a normal condition. Download the data and analyse it, then build a machine learning model and evaluate it. Add the simulation and data analysis part to the report you did in Assessment 2. Write a report that covers the following:

Introduction/Background

Literature review

Requirements to build a model

Data Analysis where you plot the data, analyse it, present statistics, identify patterns and correlations, and propose some pre-processing and normalisation including dimensionality reduction Machine Learning Fault Detection where you build a machine learning model, train it and evaluate it by reasonably splitting the data into training, validation, and testing sets Discussion where you discuss the results obtained Conclusion where you summarise what was done in the report as a whole References