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Use the dataset to generate a program including all the following elements: Here is the dataset: https://raw.githubusercontent.com/wadetse/admission/main/US_graduate_schools_admission_parameters_dataset%20-%20US_graduate_schools_admission_parameters_dataset.csv No need for any modeling, it could be

Use the dataset to generate a program including all the following elements:

Here is the dataset:

https://raw.githubusercontent.com/wadetse/admission/main/US_graduate_schools_admission_parameters_dataset%20-%20US_graduate_schools_admission_parameters_dataset.csv

No need for any modeling, it could be simpler. the input is

------

Enter your GRE score:

Enter your GPA:

Enter your TOEFL score:

------

Output:

If each of the above inputs is higher than the average of each variable.

Output is " You have a higher chance to be admitted.

Else:

"Your application will be considered along with SOP, LOR and Research, determined by the admission office."

At the minimum, your code should include a least one of each of the following:

  • container type (list, tuple, set, or dictionary)
  • iteration type (for, while)
  • conditional (if)
  • try blocks
  • user-defined functions
  • input and/or output file (submit input data)
  • user-defined class. The class must be imported by your main program and have the following required structures.

at least 1 private and 2 public self attributes

at least 1 private and 1 public method that take arguments, return values and are used by your program

an init() method that takes at least 1 argument

a repr() method

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