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Proposer
Benjamin Kenwright
Title
Data Mining and Machine Learning Project
Goal
Description
Data mining and machine learning can be applied to a wide range of projects across various domains. Here are some example projects to give you an idea: 1. **Customer Churn Prediction**: Build a machine learning model to predict which customers are likely to churn (leave) a subscription service or company based on their historical behavior and demographics. 2. **Image Classification**: Create a deep learning model to classify images into different categories, such as identifying objects in photographs or classifying diseases from medical images. 3. **Recommendation Systems**: Develop a recommendation system like Netflix's movie recommendation engine or Amazon's product recommendations to suggest personalized content or products to users. 4. **Sentiment Analysis**: Analyze social media data or customer reviews to determine sentiment (positive, negative, or neutral) and extract insights from the text data. 5. **Credit Scoring**: Build a credit scoring model to assess the creditworthiness of loan applicants using historical financial data and other relevant features. 6. **Fraud Detection**: Develop a fraud detection system that can identify potentially fraudulent transactions in real-time, such as credit card fraud or insurance claim fraud. 7. **Natural Language Processing (NLP)**: Create a chatbot, language translation tool, or text summarization system using NLP techniques and models like BERT or GPT. 8. **Healthcare Diagnostics**: Use machine learning to assist in medical diagnoses, such as detecting diseases from medical images, predicting patient outcomes, or analyzing electronic health records for insights. 9. **Predictive Maintenance**: Implement predictive maintenance models for industrial equipment, which can help reduce downtime and maintenance costs by predicting when machinery will fail. 10. **Autonomous Vehicles**: Develop algorithms and models for self-driving cars, including computer vision for object detection and decision-making systems. 11. **Stock Market Prediction**: Build models to predict stock prices or market trends based on historical stock market data, news sentiment, and other relevant factors. 12. **Weather Forecasting**: Use machine learning to improve weather forecasting accuracy by analyzing historical weather data, satellite imagery, and atmospheric conditions. 13. **E-commerce Customer Segmentation**: Segment customers into different groups based on their shopping behavior, allowing businesses to target marketing campaigns more effectively. 14. **Energy Consumption Forecasting**: Predict energy consumption for buildings or cities to optimize energy distribution and reduce costs. 15. **Social Network Analysis**: Analyze social network data to identify influential users, detect communities, or predict viral trends. 16. **Anomaly Detection in IoT**: Implement anomaly detection algorithms for Internet of Things (IoT) devices to identify unusual behavior or potential security threats. 17. **Recommendation for Online Advertising**: Build models to recommend online advertisements to users based on their browsing history and preferences. 18. **Language Translation**: Develop machine translation systems to translate text or speech between different languages. 19. **Human Activity Recognition**: Use sensors like accelerometers and gyroscopes to recognize and classify human activities, such as fitness tracking or fall detection for the elderly. 20. **Environmental Monitoring**: Deploy sensors and data analysis techniques to monitor environmental factors like air quality, water quality, and deforestation.
Resources
Depend on the project
Background
Url
Difficulty Level
Moderate
Ethical Approval
None
Number Of Students
4
Supervisor
Benjamin Kenwright
Keywords
Degrees
Bachelor of Science in Computer Science
Bachelor of Science in Computer Systems
Master of Engineering in Software Engineering
Master of Science in Artificial Intelligence
Master of Science in Artificial Intelligence with SMI
Master of Science in Business Information Management
Master of Science in Computer Science for Cyber Security
Master of Science in Computer Systems Management
Master of Science in Computing (2 Years)
Master of Science in Data Science
Master of Science in Human Robot Interaction
Master of Science in Information Technology (Business)
Master of Science in Information Technology (Software Systems)
Master of Science in Network Security
Master of Science in Robotics
Master of Science in Software Engineering
Bachelor of Science in Computing Science
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