This repository is for notebooks demonstrating various machine learning techniques; their purpose is to be simple rather than extensive and attempting to build the best possible model.
There are four regression notebooks, each predicting Yacht Residual Resistance. They use the following techniques:
- Linear Regression
- Decision Trees & Random Forests
- Neural Networks (MLP)
- K Nearest Neighbors
There are five classification notebooks, each predicting a type of wine. They use the following techniques:
- Logistic Regression
- SVM
- Decision Trees & Random Forests
- Naive Bayes
- Neural Networks