This computer science problem involves algorithmic thinking and programming concepts. The solution below explains the approach, logic, and implementation step by step.
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Here are the answers for Question 3, Question 4, and Question 6. Question 3 (25 marks) a) With aid of a diagram, explain the Machine Learning Process. (12 marks) The Machine Learning Process is a systematic approach to building and deploying machine learning models. It typically involves the following stages: 1. Data Collection: Gathering relevant data from various sources. 2. Data Preprocessing: Cleaning, transforming, and preparing the raw data. This includes handling missing values, outliers, and converting data into a suitable format. 3. Feature Engineering: Selecting, extracting, or creating relevant features from the preprocessed data that are most impactful for the model. 4. Model Selection: Choosing an appropriate machine