https://github.com/mokeddembillel/student-performance-prediction
Using Machine learning to predict a student final grade
https://github.com/mokeddembillel/student-performance-prediction
data-analysis data-exploration feature-extraction feature-importance feature-selection linear-regression machine-learning power-bi principal-component-analysis regression spyder student-performance-prediction svm-regressor
Last synced: over 1 year ago
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Using Machine learning to predict a student final grade
- Host: GitHub
- URL: https://github.com/mokeddembillel/student-performance-prediction
- Owner: mokeddembillel
- Created: 2020-10-21T22:11:31.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2020-12-13T22:32:51.000Z (over 5 years ago)
- Last Synced: 2025-01-21T17:13:49.231Z (over 1 year ago)
- Topics: data-analysis, data-exploration, feature-extraction, feature-importance, feature-selection, linear-regression, machine-learning, power-bi, principal-component-analysis, regression, spyder, student-performance-prediction, svm-regressor
- Language: Python
- Homepage:
- Size: 113 KB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Student-Performance-Prediction
Using Machine learning to predict a student final grade
- I made this project to practices and experement with some of the dimentsionality reduction techniques like low variance filter, cheking multicollinearity, random forest feature importance and principal component analysis
- I also did an Exploratory Analysis and a BI report using PowerBI to answer some of the questions that came to my mind because i was interested in knowing how some of the variables impact the students grades
- through out the whole project i prefered to use Spyder rather than Jupyter Notebook becuase of Spyder's variable Explorer which enables you to see the data in a very clear way without the need to use print