//Author : Samuel Saint-Fleur //Course : ITI1121 University of Ottawa //Assignment : 1

Full assignment can be found here: http://www.site.uottawa.ca/~gvj/Courses/ITI1121/assignments/01/index.pdf

This assignment 1 is an attempt of the implementation of machine learning within a graph, using the gradient descent method. The assignment is split to display how the source code learns through single variable and multivariable how to properly resemble a certain function with the knowledge of points in a dimension.

This archive contains the following file directory table:

Directories (-Files) Q1-1 -Assignment.java -Display.java -LinearRegression.java

Q1-2 -Assignment.java -Display.java -LinearRegression.java

Q2-1 -Assignment.java -LinearRegression.java

Q2-2 -Assignment.java -LinearRegression.java

Q2-3 -Assignment.java -LinearRegression.java

Each directory listed above also contain their each directory of a JavaDoc generated for each class within that Q Directory.