Predicting students performance in exams using machine learning classifiers : Logistic regression, KNN and SVM. Extraction of factors impacting students' performances.
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Updated
Apr 25, 2024 - Python
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students-performance-analysis
Here are 5 public repositories matching this topic...
This project understands how the student's performance (test scores) is affected by other variables such as Gender, Ethnicity, Parental level of education, Lunch and Test preparation course
python
plots
graphs
numpy
pandas-dataframe
jupyter-notebook
pandas
performance-analysis
numpy-arrays
students-marks
seaborn-plots
students-performance
students-analysis
students-performance-analysis
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Updated
Jun 16, 2020 - Jupyter Notebook
Data exploration done using students performance dataset that involves while playing an educational game.
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Updated
Mar 26, 2023 - Jupyter Notebook
To understand the how the student's performance (test scores) is affected by the other variables (Gender, Ethnicity, Parental level of education, Lunch, Test preparation course).
python
exploratory-data-analysis
jupyter-notebook
students-performance
students-performance-analysis
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Updated
Jan 6, 2022 - Jupyter Notebook
Involves using machine learning techniques for creating a linear regression model to predict students' math scores.
python
data-science
machine-learning
linear-regression
jupyter-notebook
kaggle-dataset
students-performance-analysis
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Updated
Jul 7, 2024 - Jupyter Notebook
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