Often, there is this uncertainty among students about placements. What if there is a way to know your chances of getting placed? This will not only give the students a heads up but will also motivate them to work harder and seek help from teachers and others in time.
In this project, we consider a placement dataset and try to predict whether a candidate will be placed or not based on his/her past records with the help of Machine Learning.
- To do a detailed Exploratory Data Analysis on the data and find out factors that affect and do nor affect in the process of placements.
- To build ML models that will correctly classify whether a student is placed or not, compare them and find the best model for the classification.