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CM3015 You are asked to apply at least two machine learning algorithms to a dataset or datasets of your choosing: Machine Learning & Neural Network Course Work, NUS

CM3015 Mid-term coursework This coursework is in the form of a mini-project. You are asked to apply at least two machine learning algorithms to a dataset or datasets of your choosing. You will write your findings in a report. The report, written as a document and in a formal style, and your Jupiter notebook, constitute the hand-in. Aim You must de

You are required to IDENTIFY and FIX the issues encountered in the web project: Cyber Security Assignment, NUS

Instructions The objective of this exercise is to identify as many web vulnerabilities as possible, present within the provided sample project. You are required to IDENTIFY and FIX the issues encountered in the web project. Part 1 Assessment Phase: Identify five vulnerabilities in the web project. Part 2 Rectification Phase: Fix the five vulnerab

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Evaluate the wind loads acting on a 7 storied office complex building as an input for the finite element model to analyze the 7 storied building: Civil engineering Assessment, NUS

Scenario You are a graduate junior structural engineer working in “STRUCAD Consultants” which is a consultation company operating within Sri Lanka specializing in structural engineering. You are responsible for assisting the senior structural engineers in developing the conceptual and detailed structural design of the proposed infrastructure de

It appears that public awareness among Singaporeans about some aspects of pharmaceutical legislation in Singapore may be lacking: Pharm Law Assignment, NUS

Case Study Graded Assignment It appears that public awareness among Singaporeans about some aspects of pharmaceutical legislation in Singapore may be lacking. Most Singaporeans may be aware of the existence of pharmaceutical legislation in Singapore but may not understand the intricate details. Their awareness of pharmaceutical legislation in Si

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 To choose a company/business that uses Big data and Business Analytics to enhance its business: Research methods and business analytics Assignment, NUS

Assignment Remit Many businesses use big data and Business analytics to make better, informed decisions. Think about how Google, Netflix, and Starbucks collect and utilize data to manage their operations and enhance their success. These companies leverage business analytics to optimize various aspects of their operations, from improving user exper

Use the image data in the directory to train a machine-learning hand sign classifier: Fundamentals Of AI Assignment, NUS

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

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Format the text dataset into the Bag of Words using Python’s Orange library. Then: Fundamentals Of AI Assignment, NUS

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

Develop a prototype with Machine Learning Model. Split the dataset into a training set and a testing set: Fundamentals of AI Assignment, NUS

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 portio

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Develop a Python Orange program to train a machine learning classifiers to classify the mobile phone price range: Fundamentals of AI Assignment, NUS

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 Python Orange

Apply the best algorithm in Python’s Orange library to group together images that share similar features: Fundamentals of AI Assignment, NUS

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 2

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