Q. Explain commonly used R packages in Data Science?
A. Caret
Data.Table
Reshape
Reshape2
E1071
DMwR
Dplyr
Lubridate.
Explain is precision in Data Science?
The ration of predicted positive against the actual positive.
It is the most commonly used error metric is n classification mechanism.
The range is from 0 to 1, where 1 represents 100%.
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Q. In Data Science What is recall?
A. The ratio of the true positive rate against the actual positive rate.
The range is again from 0 to 1
Q. What Is Logistic Regression in Data Science?
A. It is a statistical technique or a model in order to analyze a dataset and predict the binary outcome. The outcome has to be a binary outcome that is either zero or one or a yes or no.
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