Python
Machine Learning
2023
ID: 1CP0700
Machine Learning Methods to Predict Academic Achievement of College Students
Keywords:
Academic
Performance
Prediction,
Machine
Learning,
Educational
Data
Mining,
Student
Achievement,
Classification,
Predictive
Analytics,
College
Students,
Data
Science
Project Synopsis & Overview
This project predicts the academic achievement of college students using machine learning methods. Student data such as demographics, attendance, study habits, and previous grades is collected, preprocessed, and used to train supervised classification models, which are compared using accuracy-based metrics. The predictions help educational institutions identify at-risk students early, support timely teacher intervention, and improve academic performance and informed decision-making.
Complete Technical Specifications
| Project ID | 1CP0700 (DB ID: 700) |
| Project Title | Machine Learning Methods to Predict Academic Achievement of College Students |
| Domain Division | Python |
| Sub-Domain / Tech | Machine Learning |
| IEEE Year | 2023 |
| Package Price | ₹6500 |
| Created Date | Nov 12, 2026 |
Project Price
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₹8000
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