Description:

Predictive modelling is one of the four main data-mining tasks and classification is one of the two categories of predictive modelling. Classification finds a model for the class attribute as a function of the values of other attributes. In this course the model is a neural network and the programming language is R. Since most of the R work is a standard built-in library, no prior R knowledge is necessary.

Course Code/Duration:

BDT198 / 2 Days

Pre-requisite:

• Anyone With Prior Exposure To Common Machine Learning Concepts Such As Supervised Learning. Students Wishing To Learn The Implementation Of Neural Networks On Real Data In R. Students Wishing To Learn The Implementation Of Basic Deep Learning Concepts In R.

Audience:

• Anyone who is interested in the topic.

Learning Objectives

Upon successful completion of this course you will be able to:

• 1.Understand the basics of neural networks.
• 2.Design and program classification models for classification problems.
• 3.Understand R (if you didn’t have any prior experience with R).