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πŸ“Š Explore student behavior with our data-driven project! Leveraging a 19-column dataset, we employ ML Models (Random Tree, Naive Bayes, Linear & Logistic Regression) for profound insights. It's more than data – it's a deep dive into student dynamics, decoding patterns and predicting trends! πŸ§‘β€πŸŽ“πŸ€– #StudentAnalytics #DataScience #MLMagic

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Student-Behaviour-Study

As students for more than three years in university, we've seen a lot – our own stories and those of our friends. We've learned about different aspects of student life and what influences it. This motivated us and got us thinking about helping new students. We wanted to figure out the key to getting good grades while still enjoying life outside of studies. So, we did a study. We looked at various parts of a student's daily life like hobbies, money situations, how far they live from the university, and more. Then, we compared all this info with their grades, happiness levels, and other interesting things. Our goal was to find out what makes students successful..

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πŸ“Š Explore student behavior with our data-driven project! Leveraging a 19-column dataset, we employ ML Models (Random Tree, Naive Bayes, Linear & Logistic Regression) for profound insights. It's more than data – it's a deep dive into student dynamics, decoding patterns and predicting trends! πŸ§‘β€πŸŽ“πŸ€– #StudentAnalytics #DataScience #MLMagic

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