What is data mining and what data miners do in R?
- 1 Answers
- 197 Views
- I also Faced
- E-Mail Answers
Answer / Shantanu Sharma
Data mining refers to the process of discovering patterns, correlations, and anomalies within large datasets. Data miners in R use various techniques such as clustering, association rule learning, classification, and regression to analyze and extract valuable insights from data. They often utilize packages like 'caret', 'DMwR', and 'arules'.n```Rn# Example: Classification with the caret packageninstall.packages("caret")nlibrary(caret)ndata <- read.csv("data.csv")nfit <- train(y ~ ., data = data, method = "rf")n# Make predictions on new datanpredictions <- predict(fit, newdata = test_data)n``
| Is This Answer Correct ? | 0 Yes | 0 No |
What are r packages?
Write the syntax to set the path for a current working directory in r environment?
What is more functions in r and name them?
Which function is used to create a histogram visualisation in r programming language?
How would you create a factor in r?
Why are the VCD and lattice packages used?
What do you understand by element recycling in r?
Which data structure is used to store categorical variables?
Name some packages in r, which can be used for data imputation?
Vector v is c(1,2,3,4) and list x is list(5:8), what is the output of v*x[[1]]?
What is reference class?
What will be the result of multiplying two vectors in r having different lengths?
C 
