Answer Posted / 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``

How will you convert a factor variable to numeric in r language?

148

Given a vector of numbers, how would you turn the values into scientific notation?

103

How can you verify if a given object “X” is a matrix data object?

118