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: about 1 month 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 (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-07-09T08:41:40.000Z (almost 2 years ago)
- Last Synced: 2025-06-10T03:39:09.342Z (about 1 year 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
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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