What you'll learn
- Data Mining using RapidMIner
Requirements
- Basic COmputer Knowledge
Description
This is the bite size course to learn Data Mining using RapidmIner. This course uses CRISP DM data mining process.
You will learn RapidMiner to do data understanding, data preparation, modeling, Evaluation. You will be able to train your own prediction models with naive bayes, decision tree, knn, neural network, linear regression, and evaluate your models very soon after learning the course.
You can take the course as follow and you can take an exam at EMHAcademy to get SVBook Advance Certificate in Data Science using DSTK, Excel, RapidMiner:
- Introduction to Data and Text Mining using DSTK 3
- Data Mining with RapidMiner
- Learn Microsoft Excel Basics Fast
- Learn Data Aalysis using Microsoft Excel Basics Fast.
Content
Getting Started
Getting Started 2
Data Mining Process
Download Data Set
Read CSV
Data Understanding: Statistics
Data Understanding: Scatterplot
Data Understanding: Line
Data Understanding: Bar
Data Understanding: Histogram
Data Understanding: BoxPLot
Data Understanding: Pie
Data Understanding: Scatterplot Matrix
Data Preparation: Normalization
Data Preparation: Replace Missing Values
Data Preparation: Remove Duplicates
Data Preparation: Detect Outlier
Modeling: Simple Linear Regression
MOdeling: SImple Linear Regression using RapidMiner
MOdeling: KMeans CLustering
Modeling: KMeans Clustering using RapidmIner
Modeling: Agglomeration CLustering
Modeling: Agglomeration Clustering using RapidmIner
Modeling: Decison Tree ID3 Algorithm
Modeling: Decision Tree ID3 Algorithm using RapdimIner
Modeling: Decison Tree ID3 Algorithm using RapidMiner
Evaluation: Decsion Tree ID3 Algorithm using RapidmIner
MOdeling: KNN Classification
Modeling: KNN CLassification using RapidmIner
Evaluation: KNN Classification using RapidmIner
Modeling Naive BAyes CLassification
MOdeling: Naive Bayes Classification using RapidmIner
Evaluation: Naive Bayes Classification using RapidMIner
MOdeling: Neural Network Classification
Modeling: Neural Network Classification using RapidmIner
Evauation: Neural Network Classification using RapidmIner
What Algorithm to USe?
MOdel Evaluation
k fold cross validation using RapdimIner
Who this course is for:
- Beginner Data Scientist or Analyst interested in RapidMiner
Instructor
- 3.1 Instructor Rating
- 260 Reviews
- 13,887 Students
- 28 Courses
SVBook Pte. Ltd. started in April 2016. SVBook Pte. Ltd. offers affordable, easy to read Data Mining, Text Mining, Data Analytics, Programming books for professional and lifelong learning. SVBook Pte. Ltd. offers courses at EMHAcademy. SVBook Pte. Ltd. developed softwares over the time, and uploaded them at DSTK_Tech. SVBook Pte. Ltd. courses, books and softwares assists people to step into new fields of Data Science, Internet of Things, Smart Cities and etc. before going into more advanced courses at Coursera and EdX, which are at University Level.