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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