Chapter 4, Problem 31QAP

Question One       Predicting House Prices using Real Estate Data (25 Marks) 25 Marks A real estate company, UrbanNest Realty, wants to improve its property pricing strategy. Traditional valuation methods often lead to mispricing, affecting revenue and customer satisfaction. The company aims to use machine learning to predict house prices more accurately. Dataset: California Housing Prices from sklearn.datasets (a) Load the dataset and perform basic exploratory data analysis (EDA) by displaying summary statistics, handling missing values, and visualizing key features. (6 Marks) (b) Train a Linear Regression and a Decision Tree Regressor to predict house prices. Evaluate the models using Mean Absolute Error (MAE) and R² Score. (12 Marks) (c) Interpret the model performances and discuss how feature selection or additional preprocessing could improve accuracy. (7 Marks) Question Two       Customer Segmentation using Mall Customers Dataset (20 Marks) 25 Marks A large retail chain,…

What are some of the reasons for employee negligence to cybersecurity

This is a tilt and rotation question. Here are notes attached for reference.

What are some recommendations to deal with employee negligence to company's cybersecurity strategies and policies. Use literature

module : AFI700 QUESTION 1 (30 MARKS) 1.1 Given a medical diagnosis expert system, the system uses the following rules for diagnosing whether a patient has the flu: Rule 1: If the patient has a fever and cough, then the patient may have the flu. Rule 2: If the patient has a sore throat, then the patient may have a cold. Rule 3: If the patient has a fever, sore throat, and cough, then the patient has the flu. Using the rules above, explain how the expert system would infer a diagnosis when the patient presents with a fever, cough, and sore throat. How does the inference engine process these rules? What challenges might arise in implementing this expert system? [15 Marks] 1.2 Consider a robot in an autonomous navigation task. The robot needs to navigate from one point to another while avoiding obstacles in its environment. Describe how the robot would behave as a rational agent in this scenario, outlining the steps it would take to ensure it successfully reaches its…

State how employees contributes towards successful cyber attacks

What are the factors that contributes towards successful cyberattacks

H.W: An activated sludge process operates under the following data: Q=0.21 m³/s, S.- 250 mg/l, S-6.2 mg/l, MLVSS (X) = 3500 mg/1, 0= 10 days Return sludge concentration (X)= 10000 mg/l, Y=0.5, K₁ =0.06 d', volatile super solid represent 80% of SS, Find: 1- Treatment efficiency 2- Reactor volume 3- Qwa (sludge wasted from areation tank) 4- Qur (sludge wasted from recirculation tank) 5- Quantity of sludge wasted/day 6- Recirculated ratio V.X VX Qwa Qwr= Qwr-Xr 0X

module: java   Question3:                                                                                                                                    (30 MARKS) Passenger Rail Agency for South Africa Train Scheduling System Problem Statement Design and implement a train scheduling system for Prasa railway network. The system should handle the following functionalities: 1. Scheduling trains: Allow the addition of train schedules, ensuring that no two trains use the same platform at the same time at any station. 2. Dynamic updates: Enable adding new train schedules and canceling existing ones. 3. Real-time simulation: Use multithreading to simulate the operation of trains (e.g., arriving, departing). 4. Data management: Use ArrayList to manage train schedules and platform assignments. Requirements 1. Add Train Schedule, Cancel Scheduled Train, View Train Schedules and Platform Management 2. Concurrency Handling with Multithreading i.e Use threads to simulate train operations, Each…