This project uses a toy dataset to predict placement outcomes for students. The goal is to build a machine learning model that can predict whether a student will be placed or not based on various features. This is a model created using the libraries numpy and pandas along with matplotlib, it is a classification model which uses logistic regression to predict the result.
The dataset used in this project is a toy dataset containing information about students. This project is created in Google Collab.