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https://github.com/harmanveer-2546/student-performance-in-exam
Student performance analysis and prediction using datasets has become an essential component of modern education systems. With the increasing availability of data on student, schools and universities are using advanced analytics and machine learning algorithms to gain insights into student performance and predict future outcomes.
https://github.com/harmanveer-2546/student-performance-in-exam
classification-report cluster dbscan dimensionality-reduction k-means-clustering labelling linear-regression logistic-regression numpy pandas pre-processing random-forest-classifier test-train-split unsupervised-machine-learning visualization
Last synced: about 2 months ago
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Student performance analysis and prediction using datasets has become an essential component of modern education systems. With the increasing availability of data on student, schools and universities are using advanced analytics and machine learning algorithms to gain insights into student performance and predict future outcomes.
- Host: GitHub
- URL: https://github.com/harmanveer-2546/student-performance-in-exam
- Owner: harmanveer-2546
- Created: 2024-07-06T10:45:23.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2024-07-06T10:55:54.000Z (6 months ago)
- Last Synced: 2024-07-06T11:57:00.990Z (6 months ago)
- Topics: classification-report, cluster, dbscan, dimensionality-reduction, k-means-clustering, labelling, linear-regression, logistic-regression, numpy, pandas, pre-processing, random-forest-classifier, test-train-split, unsupervised-machine-learning, visualization
- Language: Jupyter Notebook
- Homepage:
- Size: 1.31 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0