Data Mining with RapidMiner

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

Basic knowledge


Basic COmputer Knowledge