Data mining with Rattle

Data mining with Rattle, available at $49.99, has an average rating of 4.8, with 22 lectures, based on 15 reviews, and has 93 subscribers.

You will learn about Data mining Rattle Machine learning Classification Evaluating Data mining model All about data Data mining tool This course is ideal for individuals who are Beginners who want to learn data mining tool or Anybody who wish to do data mining without code or GUI based Data mining tool It is particularly useful for Beginners who want to learn data mining tool or Anybody who wish to do data mining without code or GUI based Data mining tool.

Enroll now: Data mining with Rattle

Summary

Title: Data mining with Rattle

Price: $49.99

Average Rating: 4.8

Number of Lectures: 22

Number of Published Lectures: 22

Number of Curriculum Items: 22

Number of Published Curriculum Objects: 22

Original Price: ₹1,199

Quality Status: approved

Status: Live

What You Will Learn

Data mining
Rattle
Machine learning
Classification
Evaluating Data mining model
All about data
Data mining tool

Who Should Attend

Beginners who want to learn data mining tool
Anybody who wish to do data mining without code
GUI based Data mining tool

Target Audiences

Beginners who want to learn data mining tool
Anybody who wish to do data mining without code
GUI based Data mining tool

In this course, you will learn about Rattle GUI which is an interactive tool for data mining.

Rattle GUI is a free and open-source software package providing a graphical user interface (GUI) for data mining using the R statistical programming language. Rattle is used in a variety of situations. Rattle provides considerable data mining functionality by exposing the power of the R Statistical Software through a graphical user interface.

Rattle is also used as a teaching facility to learn the R software Language. There is a Log Code tab, which replicates the R code for any activity undertaken in the GUI, which can be copied and pasted. Rattle can be used for statistical analysis, or model generation. Rattle allows for the dataset to be partitioned into training, validation and testing. The dataset can be viewed and edited. There is also an option for scoring an external data file.

Data mining is the analysis of data and the use of software techniques for finding patterns and regularities in sets of data. The computer is responsible for finding the patterns by identifying the underlying rules and features in the data. The actual data mining task is the semi-automatic or automatic analysis of large quantities of data to extract previously unknown, interesting patterns such as groups of data records

Course Curriculum

Chapter 1: Introduction

Lecture 1: About the Instructor

Lecture 2: Modules

Chapter 2: Introduction

Lecture 1: Introduction to Data Mining

Lecture 2: Introduction to Rattle and R

Lecture 3: Data – Terminologies

Lecture 4: Instructions to install R and Rattle

Lecture 5: Download R and R studio

Lecture 6: Install R and R Studio

Lecture 7: Install and launch Rattle

Chapter 3: Rattle

Lecture 1: Overview of Rattle GUI

Chapter 4: Data

Lecture 1: Data

Chapter 5: Explore

Lecture 1: Explore – Summary

Lecture 2: Explore – Distributions

Lecture 3: Explore – Correlation

Lecture 4: Explore – PCA & Interactive plot

Chapter 6: Test

Lecture 1: Test

Chapter 7: Transform

Lecture 1: Transform

Chapter 8: Model

Lecture 1: Model

Chapter 9: Evaluate

Lecture 1: Evaluate

Chapter 10: Associate

Lecture 1: Associate

Chapter 11: Cluster

Lecture 1: Cluster

Chapter 12: Log

Lecture 1: Log

Instructors

Dr. S. Gomathi
Instructor

Rating Distribution

1 stars: 0 votes
2 stars: 0 votes
3 stars: 1 votes
4 stars: 1 votes
5 stars: 13 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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