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--- |
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language: [en] |
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license: apache-2.0 |
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task_categories: [tabular-classification] |
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pretty_name: Tourism Package Prediction (Wellness) |
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size_categories: [1K<n<10K] |
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tags: [tourism, marketing, classification, mlops] |
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--- |
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# Tourism Package Prediction Dataset |
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Dataset from **Visit with Us** project. |
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Contains customer & interaction features for predicting purchase of the **Wellness Tourism Package** (`ProdTaken`). |
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## Files |
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- `data/tourism.csv` — customer & interaction records with target label. |
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## Features |
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- Demographic attributes (Age, Gender, MaritalStatus, Income, etc.) |
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- Travel behavior (Trips, Passport, Car ownership, etc.) |
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- Interaction data (Product pitched, Satisfaction, Followups, etc.) |
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- Target: `ProdTaken` (0 = No, 1 = Yes) |
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## Quickstart |
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```python |
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from datasets import load_dataset |
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ds = load_dataset("singhina/tourism-data", data_files="data/tourism.csv") |
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print(ds) |
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``` |
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*Uploaded on 2025-09-26* |
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