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Predict Students Dropout And Academic Success

Kaggle

@kaggle.syedfaizanalii_predict_students_dropout_and_academic_success

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Predict Students Dropout and Academic Success Dataset

Dataset Description

Dataset Column Descriptions

This dataset includes various features that were known at the time of student enrollment. Below is a description of each column in the dataset:

  • Marital Status: The marital status of the student (e.g., single, married, divorced).

  • Application Mode: Refers to the mode or type of application the student submitted to enroll in the course.

  • Application Order: Indicates the order in which the student applied for the course. For example, whether it was the student’s first, second, or third choice.

  • Course: The course or degree program the student is enrolled in (e.g., Computer Science, Engineering, etc.).

  • Daytime/Evening Attendance: Specifies whether the student attends the course during the day or in the evening, representing their attendance schedule.

  • Previous Qualification: The type of academic qualification the student had before enrolling in the course (e.g., high school diploma, vocational training).

  • Previous Qualification (Grade): The final grade or score associated with the student's previous qualification.

  • Nationality: The nationality of the student.

  • Mother's Qualification: The highest academic qualification attained by the student's mother.

  • Father's Qualification: The highest academic qualification attained by the student's father.

These features represent important demographic, academic, and socio-economic factors, which are crucial for predicting a student's academic outcome.


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