Student Performance Dataset with Categorical Features

A dataset on Kaggle concerning student performance. The title suggests it contains categorical variables related to educational outcomes. Specifics on size, origin, and temporal coverage are not provided in the metadata.

Use Cases

• Predicting student grades based on categorical features like demographics or study habits (inferred from domain, verify after download)
• Analyzing the relationship between categorical student attributes and academic performance (inferred from domain, verify after download)
• Building a classification model to identify students at risk of underperformance (inferred from domain, verify after download)

Strengths

• Published on Kaggle, a platform with a large community for discussion and support.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Row count, column definitions, and sample data are unknown, which limits suitability assessment.
• License, author, and last update date are unknown.

Provenance

Source

Kaggle