Machine learning is a predictive modelling method to forecast possible future output. Raw data must be well-prepared before it can be further processed to train the model. (a) Explain THREE strategies used to treat missing values from dataset. (6 marks) (b) You are requiring to build a predictive model to forecast the strength of concrete mixture using historical data as shown in Figure Q2. List and elaborate all necessary steps in machine learning to build the predictive model, from data preparation until model interpretation. (9 marks) Q2 Machine learning is a predictive modelling method to forecast possible future output. Raw data must be well-prepared before it can be further processed to train the model. (a) Explain THREE strategies used to treat missing values from dataset. (6 marks) (b) You are requiring to build a predictive model to forecast the strength of concrete mixture using historical data as shown in Figure Q2. List and elaborate all necessary steps in machine learning to build the predictive model, from data preparation until model interpretation. (9 marks)