UNDERSTANDING ARTIFICIAL INTELLIGENCE

Artificial Intelligence Solution Implementation

Date of completion: 21.10.2024
University of Essex Online, MSc Artificial Intelligence
Final Submission that contributed 40% to the module grade.

Summary of solution:

For my final submission I worked on implementing AI solutions using various machine learning algorithms. The focus was on customer segmentation for a fictional finance start-up, Investo, which was experiencing challenges in distinguishing short-term customers from long-term clients. The goal was to demonstrate the potential of AI in solving this business problem using the supervised Decision Trees and Random Forest algorithms as well as the unsupervised K-Means Clustering algorithms. To showcase these algorithms, I utilized the Mushroom Dataset from Kaggle, which provided a clear and well-structured binary classification problem as a place holder for the customer data. The machine learning algorithms were implemented using WEKA a machine learning tool provided by the University Waikato as well as with Python using the sklearn library.