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Project 3: Explore 1 of the given datasets: Breast Cancer, Global IQ Data and Natural Disasters
Data AnalysisMachine LearningR
In Week 9, briefings will be given by your tutors in your Lab class, and then a Video Briefing by your lecturer is in the first ten minutes of the Week 10 Lecture. See a guide to writing a nice report here Download here .
KIT317 Internet of Things and Artificial Intelligence - Assignment 3: Weather Prediction
KIT317KIT717Internet of Things and Artificial IntelligencePythonPHP
IoT devices collect data about the real world to help us make better decisions with that data. Raw data isn’t particularly helpful, so we analyse data to try it into more meaningful information. Sometimes we want to use this data not just to tell us about the past, but also to make inferences about the future.
Machine Learning in Practice Assignment: ML Solutions for Misinformation Detection in Social Media
Machine Learning in PracticePythonExplorationPreparationFeature GenerationClassification
Social media, particularly X (formally known as Twitter), has revolutionized the way information spreads, but it's also an incubator for fake news and misinformation. Misinformation on platform X can evolve from diverse forms and may stem from various sources, whether intentional or not, taking advantage of the platform's viral nature to widen its dissemination
Data 474: Final Project
Data ScienceMachine LearningStatistical LearningVisualizationRegressionClassification
Each team will identify a real data set for which there are interesting questions to answer by finding hidden pattern in data. Then different statistical learning approaches are applied to find the best way to answer these questions. Each team typically consists of 3 students. a team format is strongly encouraged.
Assignment 3: LDA Topic Modeling
LDATopic ModelingPython
LDA is a popular topic modeling algorithm widely used in the fields of Digital Humanities and Social Sciences. In the field of political communication, topic modeling is often applied for analyzing politicians Twitter/X posts, identitying thematic patterns or topics revolving around their posts
ACS341 Machine Learning Coursework Assignment: Household energy consumption
ACS341Machine LearningHousehold energy consumptionPythonPipeline
Accurately predicting household energy consumption allows local power distribution companies to better forecast energy trends and perform demand management1. Power system demand management has gained heightened importance as the world transitions towards renewable energy2
Project: Improving Classification through Self-supervised Learning
Self-supervised LearningClassificationPythonMelanoma Classification
While melanoma is the least common type of skin cancer, it tragically accounts for 75% of deaths from the disease, making it the deadliest form. Despite this, over 100,000 new cases of melanoma are expected in 2020, with nearly 7,000 people losing their lives to it. Just like with other cancers, early and accurate detection is crucial for effective treatment
COMP222 Principles of Computer Games Design and Implementation - Assignment 2: Design and Implement Artificial Intelligence for a Simplified PacMan game
COMP222Principles of Computer Games Design and ImplementationArtificial IntelligencePacManGame DevelopmentPython
Your tasks are to: • Design the AI for a simplified PacMan game, described below • Implement the AI that you designed in code (frameworks are provided for Python, Java). • Test and analyse how your AI performs
CS105/CS360/SE360 [Fundamentals of] Artificial Intelligence - Group project for An optimal samples selection System
CS105CS360SE360
It is known that the amount of data generated has been increasing tremendously in the last few years due to the ease of accessing to the internet, cheap or inexpensive mass storage devices, the ease of transferring data through internet, communication lines and digital data are used in all walks of life.
COMP3411 Artificial Intelligence Assignment 3 - Nine-Board Tic-Tac-Toe
COMP3411Artificial IntelligenceNine-Board Tic-Tac-ToePython
In this assignment you will be writing an agent to play the game of Nine-Board Tic- Tac-Toe. This game is played on a 3 x 3 array of 3 x 3 Tic-Tac-Toe boards. The first move is made by placing an X in a randomly chosen cell of a randomly chosen board.
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