Tutorial # 10. Machine Learning

Steps for machine Learning Model

#1. Load the dataset

 

View((iris))

#2. Preprocess the dataset

SepalWidth = iris[ ,"C-1"]

SepalLength = iris[ , "C-2"]

print(("\nSepalLength :"))

SepalLength

print(("\nSepalWidth :"))

SepalWidth

#3. Visualze the dataset

 

plot(SepalLength , SepalWidth )

 

Output : 

 

 

 

#4. Creating Machine Learning Model ( Linear Regression )

 

model = lm( SepalWidth ~ SepalLength )

#5. Predict using our ML model

 

predict(model,data.frame(SepalLength=15))

 

Output :  

       1 
3.348169 

 

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An Introduction to language R

Tutorial # 1.Data Type & Variable  Declaration
Tutorial # 2.Operators
Tutorial # 3.Vector  & Element Access
Tutorial # 4.Matrix
Tutorial # 5.Data Frame

Tutorial # 6.Arrays
Tutorial # 7.Lists
Tutorial # 8.Factors
Tutorial # 9.Data import
Tutorial # 10.Machine Learning
Tutorial # 11.Visualization