MATLAB Machine Learning for Medical Project

Machine Learning techniques are attracting substantial interest from medical researchers and clinicians. The results teach medical researchers and clinicians new ways of studying diseases, recognizing types of cancer tumours, and treating patients.

This work demonstrated machine learning techniques by developing predictive models for recognizing different types of cancer tumours. These algorithms include

- k-Nearest Neighbors Classifier
- Support Vector Machine Classifier
- Neural network training
- Mahalanobis Classifier

Furthermore, this work should also answer the effect of dimensionality reduction techniques like principal component and fisher’s discriminant analysis on the accuracy of classification.

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