Machine-Learning-Algos

The repository contains three files which are implementations of machine learning algorithms.

1. Linear regression using gradient descent method - Data used is the boston housing.
2. Decision tree - Performance is tested on a graph of Accuracy vs number of nodes and Accuracy vs depth of the tree
3. Naive Bayes - ROC curve is used to demonstrate performance of the classifier. The data can be read from a file or a database. If using a database, SQL queries are used for extracting data.