A repository for all my data science projects and investigations.
As part of a university course, I was required to apply several machine learning techniques to a dataset containing food nutrient composition. I decided to solve a classification problem where food is classified as either containing or not containing cholesterol based on its nutritional composition. The models and techniques investigated include:
- Decision Tree
- K-NN
- Logistic Regression
- Bagging and Boosting
- Neural Network (MLP)
- Model Evaluation (hold-out validation)
The report and code is found here: Cholesterol