This repository contains the code I wrote for four projects that I was assigned in my Machine Learning course.
We used the Breast Cancer Wisconsin (Diagnostic) dataset from the UCI Machine Learning Repository:
https://archive-beta.ics.uci.edu/ml/datasets/breast+cancer+wisconsin+diagnostic
Each of the four code files utilizes different machine learning methods, as follows:
- Project 1: Fisher Linear Discriminant Analysis (FLDA) Classifier
- Project 2: Linear, Quadratic, DiagLinear, and DiagQuadratic Classifiers
- Project 3: Support Vector Machines (SVMs)
- Final Project: A combination of projects 1-3, with the addition of utilizing feature selection to pre-process the data before it enters the pipeline.