Explain the Machine Learning Process with a diagram. (12 marks)

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