Support Vector Machine and Neural Network machine learning practice.

Naive Bayes Machine Learning Practice

KNN machine learning practice.

HCA and K-Means machine learning practice.

Decision Tree and Random Forest machine learning practice.

Practice cleaning and preparing data with R.

This is a project that explores various performanace metrics in R. First I created Naive Bayes and K-NN algorithms that predict abalone age from abalone features. I then compared the algorithms using various performance metrics, and finally I used 10-fold cross validation to re-train the algorithms.