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Machine Learning

Student Exam Mark Prediction

Forecasting academic performance based on study hours and attendance using Linear Regression.

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Student Exam Mark Prediction screenshot

Project Overview

A regression project designed to find patterns in student behavior that lead to academic success.

Technologies Used

PythonNumpyScikit-learn

Methodology

  1. 1Data collection and feature mapping.
  2. 2Linearity check and scatter plot visualization.
  3. 3Model training with gradient descent.
  4. 4Prediction of scores for new student data.

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