Data Preprocessing and Visualizations Using Machine Learning for Student Placement Prediction

Abstract

Student performance during their entire carrier and also a previous academic performance impact the chance of getting a job offer at the end of graduation. Many factors like student technical, analytical, and communication skills are essential to procuring a job. However, our effort is to find how academic skills and scores affect their chances. Machine learning algorithms play a significant role in analyzing and predicting the chance of students in placements based on their previous academic outcomes. In this paper, we collected student data from a reputed technical institute. The data set comprises different factors that influence the student chances; these influencing factors are studied and represented using visualizations. On this data set, we tried to analyze the data and draw visualizations and insights before performing or applying machine algorithms to the data. In this paper, our main motto is to analyze and understand the data and perform preprocessing of the data.