University Innovation Feasibility Dataset with IoT Context, 5000 Rows

5000 rows of data for classifying the feasibility of university innovation projects. The dataset is hosted on Kaggle and focuses on IoT-driven initiatives. Its specific features and collection methodology are not detailed in the provided metadata.

Use Cases

• Train a binary classifier to predict project feasibility based on IoT-related features.
• Analyze factors influencing the success of university-based innovation initiatives.
• Build a multi-class model to categorize different types of IoT-driven university projects.

Strengths

• Contains 5000 rows, providing a substantial base for model training.
• Focuses on a specific application domain: IoT-driven university innovation.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is known, but other scale metrics like feature count are unknown.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Kaggle