Neural Network-based Classification with R
- Created By raju2006
- Last Updated December 20th, 2023
- Overview
- Prerequisites
- Audience
- Audience
- Curriculum
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).
- 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.
- Anyone who is interested in the topic.
- Anyone who is interested in the topic.
Course Outline:
Why you should try this course:
- 1.Classification models are widely used in our everyday life.
- 2. You can connect yourself better with the increasingly intelligent world around us when you can create your own artificial intelligence.
- 3.You will be more in control of your life when you go beyond knowing what has happened in the past and can provide the best assessment of what will happen in the future.
Training material provided:
Yes (Digital format)
The curriculum is empty
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