Predicting Filipino Students' Employability Based on Mock Interview Results

Context

First time implementing machine learning models into my project. I used the Students' Employability Dataset - Philippines Dataset from Kaggle for this project.

Prerequisites

The project uses three libraries which is pandas, matplotlib, and Seaborn.

pip install pandas
pip install matplotlib
pip install seaborn
pip install scikit-learn

Questions asked during the project

1. Which characteristic do Filipino students score low in? high in?
2. What is the usual cutoff average score for employability according to the dataset?
3. Which feature has the greatest correlation with employability?
4. Which classifier model has the highest accuracy for this dataset? Logistic Regression, K-Nearest Neighbors Classification, or Support Vector Machines?

Feel free to reach out and send feedback

You can contact me at [email protected] to express your feedback about the project and how I can improve.