| Purpose of Programme |
Participants will be equipped with practical skills to implement classification models and regression models for the fintech industry using various supervised learning algorithms such as linear and logistic regression models, k-nearest neighbors, neural networks, support vector machine, decision trees and ensemble methods such as random forest. Participants will also acquire the skills related to the implementation of unsupervised learning algorithms such as k-means clustering and other analytical methods such as correlation analysis and association rules to derive insights from financial data and review a real-life financial case study.
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