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Team 7 - Student Performance Analysis Kit

by hemanthnag132 Updated: Jan 27, 2022

This is a basic student performance analysis with predefined data using basics of machine learning. We used a predetermined dataset consisting of students marksheets. The output analysis is visualized using graphs for each subject and its chapters. It is done using K-Clustering algorithom which is an unsupervised learning algorithm. Here a subject mark's labels are grouped into one single cluster. This helps to analyse the student's performance and help him do better in upcoming exams

Libraries Used

We have used the below libraries to implement data analysis and to visualise student's data

numpyby numpy

Python star image 22621 Version:1.24.1

License: Permissive (BSD-3-Clause)

The fundamental package for scientific computing with Python.

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numpyby numpy

Python star image 22621 Version:1.24.1 License: Permissive (BSD-3-Clause)

The fundamental package for scientific computing with Python.
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streamlitby streamlit

Python star image 22452 Version:1.16.0

License: Permissive (Apache-2.0)

Streamlit — The fastest way to build data apps in Python

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streamlitby streamlit

Python star image 22452 Version:1.16.0 License: Permissive (Apache-2.0)

Streamlit — The fastest way to build data apps in Python
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pandasby pandas-dev

Python star image 36783 Version:1.5.2

License: Permissive (BSD-3-Clause)

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

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pandasby pandas-dev

Python star image 36783 Version:1.5.2 License: Permissive (BSD-3-Clause)

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
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matplotlibby matplotlib

Python star image 16825 Version:3.6.2

License: No License (null)

matplotlib: plotting with Python

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matplotlibby matplotlib

Python star image 16825 Version:3.6.2 License: No License

matplotlib: plotting with Python
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dashby plotly

Python star image 18029 Version:2.7.1

License: Permissive (MIT)

Data Apps & Dashboards for Python. No JavaScript Required.

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dashby plotly

Python star image 18029 Version:2.7.1 License: Permissive (MIT)

Data Apps & Dashboards for Python. No JavaScript Required.
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ipythonby ipython

Python star image 15677 Version:8.8.0

License: Permissive (BSD-3-Clause)

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

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ipythonby ipython

Python star image 15677 Version:8.8.0 License: Permissive (BSD-3-Clause)

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
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Kit Solution Source

Techforgood2022by muditbaid

Python star image 0 Version:Current

License: No License (null)

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Techforgood2022by muditbaid

Python star image 0 Version:Current License: No License

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Deployment Information

As you can see it in the given examples, Student's Maths marks are represented graphically according to his or her performance. It shows the tests in which the student scored marks which fall under Safe zone and a few test scores are in the danger zone, that is, he/she obtained less than average marks. By this labels we can predict the marks of upcoming exams for that student.

Deployed Application: https://share.streamlit.io/muditbaid/techforgood2022/main/modplott.py