The task is to develop a predictive model that can estimate the percentage of a student based on the number of study hours. The dataset consists of the number of study hours and the corresponding percentage achieved by the students. The goal is to build a model that can accurately predict the percentage of a student given the study hours. This task is a part of the Sparks Foundation Internship program in Data Science and Business Analytics.
The dataset for this task is provided as a CSV file named student_marks.csv. The file contains two columns: "Hours" represents the number of study hours, and "Scores" represents the corresponding percentage achieved by the students.