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https://github.com/aakanksha1406/students-performance-analysis
Students' Performance Evaluation using Feature Engineering, Feature Extraction, Manipulation of Data, Data Analysis, Data Visualization and at last applying Classification Algorithms from Machine Learning to Separate Students with different grades
https://github.com/aakanksha1406/students-performance-analysis
decision-tree-classifier logistic-regression ordinalencoder pandas random-forest seaborn sklearn
Last synced: 23 days ago
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Students' Performance Evaluation using Feature Engineering, Feature Extraction, Manipulation of Data, Data Analysis, Data Visualization and at last applying Classification Algorithms from Machine Learning to Separate Students with different grades
- Host: GitHub
- URL: https://github.com/aakanksha1406/students-performance-analysis
- Owner: aakanksha1406
- Created: 2024-07-08T12:13:24.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2024-07-09T08:41:40.000Z (7 months ago)
- Last Synced: 2024-11-07T12:16:33.986Z (2 months ago)
- Topics: decision-tree-classifier, logistic-regression, ordinalencoder, pandas, random-forest, seaborn, sklearn
- Language: Jupyter Notebook
- Homepage:
- Size: 379 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Students-Performance-Analytics
The project understands how the students' performance(test scores) is affected by other variables such as Gender, Ethnicity, Parental level of Education, Lunch and Test preparation courses
Students' Performance Evaluation using Feature Engineering, Feature Extraction, Manipulation of Data, Data Analysis, Data Visualization and at last applying Classification Algorithms from Machine Learning to Separate Students with different grades