December 2023

Tasks You are asked to analyze various problems associated with an offshore wind turbine system as sketched in Figure. 1. This includes the statistics on the power production, analysis of the environmental conditions and environmental load on the wind turbine. You need to use NumPy and matplotlib to complete the tasks. Figure 1: sketch of […]

Task 1 Identify an advertisement that you believe has been designed specifically to appeal to the ‘ideal’ self. Discuss how successful you think the advertisement is in appealing to your ‘ideal’ self and consider potential positive and/or negative impacts. Task 2 (400 words) Drawing upon your own experience and referring to academic theory, discuss the

Task 1 Identify an advertisement that you believe has been designed specifically to appeal to the ‘ideal’ self. Discuss how successful you think the advertisement is in appealing to your ‘ideal’ self and consider potential positive and/or negative impacts. Task 2 (400 words) Drawing upon your own experience and referring to academic theory, discuss the

Required: Part 1: Discuss the appropriate method to estimate the current value of National without the change in gaming payouts. Calculate the value Part 2: Discuss the appropriate method to estimate the value of National with the change in gaming payouts. Calculate the value. Part 3: Assume the government privatizes National through the tender sale

Individual Coursework  The data file house_starts contains data on 30-year fixed mortgage rates (FIXED_RATE), new home construction in thousands (STARTS), and houses sold in thousands (SOLD). There are 184 monthly observations from January 1990 to April 2005. (a) Plot each of the series (FIXED_RATE, STARTS and SOLD) against time. Comment on the observations. (b) Plot

Question 3 Prediction of insurance price using Regression models  A health insurance company has provided you with data about their customers and the amount of insurance paid for each customer. Your task is to develop a machine learning application that can predict the potential insurance amount for new customers. Here is a sample of some

Questions 4 Topics Classification from the text Given a dataset named “topics_dataset.tab” which includes sentences and corresponding labels indicating the topic of each sentence, complete the following tasks: Format the text dataset into the Bag of Words using Python’s Orange library. Then, use the data to train Logistic Regression classifiers capable of classifying the four

Questions 5 Image Classification Problems The folder contains 11 subfolders of different hand sign images namely a,b,c,d,e,i,m,n,s,x, and y. Use the image data in the directory to train a machine-learning hand sign classifier and a neutral networker hand sign classifier. Both the model’s test data F1 score must be at least 0.9. Screen capture the

Question 1 Clustering of templates of different shapes Below are images of a pool of different logos. Apply the best algorithm in Python’s Orange library to group together images that share similar features. Describe how the clustering algorithm used in Step a) is able to group images with similar features into the same cluster. Describe

Question 2 Classification of Notes authenticity  You are given a dataset, Mobiledata.csv, which contains features of the phone and their price range. The price range is indicated by the numbers 0,1,2, or 3. Your task is to train a classifier that can accurately detect a mobile phone’s price range. You are required to: Develop a