Student Performance Prediction Using Logistic Regression

1. 1Collect data on student study hours, attendance percentage, and marks
2. 2Preprocess the data by handling missing values and scaling the features
3. 3Train a logistic regression model using the collected data
4. 4Evaluate the model's performance using metrics like accuracy and precision
5. 5Deploy the model to predict student performance and identify areas for improvement

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

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

Predict student success with logistic regression! #MachineLearning #Education