Skip to content
This Project aims to explore the demographic and family features that have an impact a student's academic performance. The data consists of 6000 student entries from Balochistan. In this Project, we use various classifiers such as Decision Trees, Logistic Regression, K-Nearest Neighbors, Random Forest and Multilayer Perceptrons for the classific…
Jupyter Notebook
Branch: master
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
Data.xlsx
EDM Unbalanced DATA Classification.ipynb
EDM Unbalanced data classification with Cross Validation.ipynb
Histograms of EDM Dataset.ipynb
README.md

README.md

Educational-Data-Mining

This Project aims to explore the demographic and family features that have an impact a student's academic performance. The data consists of 6000 student entries from Balochistan. In this Project, we use various classifiers such as Decision Trees, Logistic Regression, K-Nearest Neighbors, Random Forest and Multilayer Perceptrons for the classification purpose.

You can’t perform that action at this time.