Data Mining Software Exercise

Data Mining Software Exercise
Data Mining Software Exercise
Week 5 Data Mining Software Exercise
This assignment gives you the opportunity to demonstrate your ability to use data mining software.
Download the program RapidMiner (available for Windows or MAC IOS 10.8+) from: https://rapidminer.com/ and register using your WCU student email. (After the 15-day free trial, you can register for a free education license if you’d like. You’ll receive an email from RapidMiner with instructions.)
When you open the program for the first time, tutorials will automatically come up on the left side of the platform’s screen. If you lose this window, click on the file folder icon a the top and choose the Learn option to get it back.
Complete each tutorial within the program and take a screenshot of the results as you finish each one. (list of tutorials provided below)
After you finish the tutorials, submit your screenshots for grading.
Basics
Operators and Processes
Modeling
Accessing Data
Filtering and Sorting
Merging and Grouping
Creating and Removing Columns
Changing Types and Roles
More Modeling
Data Handling
Handle Missing Values
Normalization and Outlier Detection
Pivoting and Renaming
Macros and Sampling
Looping, Branching, and Appending
Writing Data
Modeling, Scoring and Validation
Modeling
Scoring
Test Splits and Validation
Cross Validation
Visual Model Comparison
RapidMiner Server
RapidMiner Radoop
See Assignment Resources below for further RapidMiner support videos.
Week 5 Data Mining Software Exercise
This assignment gives you the opportunity to demonstrate your ability to use data mining software.
Download the program RapidMiner (available for Windows or MAC IOS 10.8+) from: https://rapidminer.com/ and register using your WCU student email. (After the 15-day free trial, you can register for a free education license if you’d like. You’ll receive an email from RapidMiner with instructions.)
When you open the program for the first time, tutorials will automatically come up on the left side of the platform’s screen. If you lose this window, click on the file folder icon a the top and choose the Learn option to get it back.
Complete each tutorial within the program and take a screenshot of the results as you finish each one. (list of tutorials provided below)
After you finish the tutorials, submit your screenshots for grading.
Basics
Operators and Processes
Modeling
Accessing Data
Filtering and Sorting
Merging and Grouping
Creating and Removing Columns
Changing Types and Roles
More Modeling
Data Handling
Handle Missing Values
Normalization and Outlier Detection
Pivoting and Renaming
Macros and Sampling