Linear regression is widely used to model the relationship between response or dependent variable and explanatory or independent variables. The…
The exponential distribution is modeling the probability distribution of the random time until next event occur in a Poisson event…
The elements of a list can be added or removed after it has been created. To add new elements at…
Python uses class for object-oriented programming. A class represents the general behavior or information that the programmer or data analyst…
When we do data analysis, random variables in the dataset are usually mutually correlated. Sometimes, we may want to measure…
Normal distribution is describing random variables with bell-shaped probability density functions. Normal distribution is widely used in data science because…
When a correlation, usually Person type correlation, is calculated, two variables have to be continuous. But this requirement does not…
dplyr is a package that belongs to tidyverse framework. dplyr allows usage of pipeline structure (%>%), which can chain multiple…
R language provides several useful functions for importing delimited files and creating data frames. These delimited files are often stored…
List is the simplest type of data structure in Python programming. A list is used to store a collection of…