(Solved): Differentiate between supervised and unsupervised learning. Provide one real-world example for each ...

Differentiate between supervised and unsupervised learning. Provide one real-world example for each type. You are given the following dataset of hours studied and corresponding exam scores: Hours Studied (X) Exam Score (Y) 1 50 2 55 3 65 4 70 5 75 (a) Fit a simple linear regression model to this data. (b) Derive the regression equation. (c) Use the equation to predict the exam score for a student who studies 6 hours. Evaluation Rubrics: Q1. Criteria Correct definition of supervised learning Correct definition of unsupervised learning Relevant real-world example for supervised Relevant real-world example for unsupervised Q2. Practical – Linear Regression (8 Marks) Criteria Mark/s (a) Correct method used to calculate slope (m) and intercept (c) (b) Accurate derivation of regression equation (Y = mX + c) (c) Correct substitution and prediction for 6 hours (d) Clear presentation and logical steps QUESTIONS: Q1. Differentiate between supervised and unsupervised learning. Provide one real-world example for each type Q2. You are given the following dataset of hours studied and corresponding exam scores: (a) Fit a simple linear regression model to this data. (b) Derive the regression equation. (c) Use the equation to predict the exam score for a student who studies 6 hours. Evaluation Rubrics: Q1. Q2. Practical - Linear Regression (8 Marks)