student-performance-prediction
by daniel01 Updated: Nov 1, 2021
Solution Kit
This kit includes basic machine learning libraries and data visualization libraries in Python needed to do a machine learning model involving the prediction of students academic performance.
IDE
The IDE to use for writing the code.
notebookby jupyter
Jupyter Interactive Notebook
notebookby jupyter
Jupyter Notebook
9901
Version:v7.0.0a18
License: Permissive (BSD-3-Clause)
Data Science/Machine Learning Library
Libraries containing machine learning algorithms used to do the prediction
pandasby pandas-dev
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
pandasby pandas-dev
Python
37428
Version:v2.0.0rc1
License: Permissive (BSD-3-Clause)
numpyby numpy
The fundamental package for scientific computing with Python.
numpyby numpy
Python
23036
Version:v1.24.2
License: Permissive (BSD-3-Clause)
scikit-learnby scikit-learn
scikit-learn: machine learning in Python
scikit-learnby scikit-learn
Python
53544
Version:1.2.2
License: Permissive (BSD-3-Clause)
Data Visualization Library
Libraries that are used to visualize data from the dataset and the results of the prediction made.
seabornby mwaskom
Statistical data visualization in Python
seabornby mwaskom
Python
10513
Version:v0.12.2
License: Permissive (BSD-3-Clause)
matplotlibby matplotlib
matplotlib: plotting with Python
matplotlibby matplotlib
Python
17088
Version:v3.7.1
License: No License