Student Performance Prediction Using Logistic Regression

📰 Medium · Data Science

Learn to predict student performance using logistic regression with study hours, attendance, and marks as features

intermediate Published 9 May 2026

Action Steps

Collect data on student study hours, attendance percentage, and marks
Preprocess the data by handling missing values and scaling the features
Train a logistic regression model using the collected data
Evaluate the model's performance using metrics like accuracy and precision
Deploy the model to predict student performance and identify areas for improvement

Who Needs to Know This

Data scientists and educators can benefit from this project to identify at-risk students and improve their academic outcomes

Key Insight

💡 Logistic regression can be used to predict student performance based on academic behavior

Key Takeaways

Learn to predict student performance using logistic regression with study hours, attendance, and marks as features

Full Article

Title: Student Performance Prediction Using Logistic Regression

URL Source: https://medium.com/@pinjarialeema3/student-performance-prediction-using-logistic-regression-dcdb910fbb6b?source=rss------data_science-5

Published Time: 2026-05-09T07:03:40Z

Markdown Content:
# Student Performance Prediction Using Logistic Regression | by Pinjarialeema | May, 2026 | Medium

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# Student Performance Prediction Using Logistic Regression

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_How Machine Learning Can Help Predict Student Success Using Study Hours, Attendance, and Marks_

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## Introduction

In today’s education system, predicting student performance has become an important challenge for schools and colleges. Teachers often struggle to identify students who may fail before the final exams. What if we could use Machine Learning to predict whether a student will pass or fail based on their academic behavior?

In this project, I built a complete Machine Learning classification model using Logistic Regression to predict student performance. The model uses features like:

* Study Hours
* Attendance Percentage
* Marks

Read full article → ← Back to Reads

Student Performance Prediction Using Logistic Regression

Key Takeaways

Full Article

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