This is my 2nd task as an Data science and business analytics intern. This task demonstrates few EDA processes.
EDA
-
It is an important step for every data science project.
-
It does all the preprocessing work before using for patterns extraction process.
-
High quality data is rear so, EDA is must.
-
One can see the patterns which will help in deciding which model to choose, which technique to apply, etc...
-
Once the inferences are made then the data will be classified as useful or not useful.