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01Omotayof /wellness-tourism-customerstabular1K<n<10K0 likes243 downloads13d agoHugging Face02Nohafx /tourism-wellness-datasettabular1K<n<10K1 likes82 downloads4d agoHugging Face03LeaMiles /tourism-wellness-datasettabular1K<n<10K0 likes75 downloads5d agoHugging Face04costinflation /wellness-supplement-prices-raw-dataset-2026 53,198 prices: 5 categories, 12 U.S. ZIPs, 29 days Wellness Supplement Prices Raw Dataset (2026) How do listed and package-standardized prices vary across five everyday wellness supplement categories, 12 selected U.S. ZIP markets, and 29 days? This fixed research snapshot contains 53,198 unaggregated, quality-filtered price observations across 5 categories, 12 U.S. ZIP markets, and 29 consecutive dates from July 21 through August 18, 2026. The analysis-ready CSV preserves… See the full description on the dataset page: https://huggingface.co/datasets/costinflation/wellness-supplement-prices-raw-dataset-2026.tabulartabular-regression10K<n<100K0 likes54 downloads26d agoHugging Face05mansha1701 /tourism-wellness-package-datasettabular1K<n<10K0 likes54 downloads16d agoHugging Face06harshkc /tourism-wellness-datasettabular1K<n<10K0 likes48 downloads19d agoHugging Face07benedictebalukhota /tourism-wellness-datasettabular1K<n<10K0 likes46 downloads7d agoHugging Face08anishkrr /tourism-wellness-datatabular1K<n<10K0 likes42 downloads16d agoHugging Face09costinflation /medicine-and-wellness-prices-raw-dataset-2026 140,312 prices: 11 categories, 12 U.S. ZIPs, 29 days Medicine & Wellness Prices Raw Dataset (2026) How do listed and package-standardized prices vary across 11 medicine and wellness categories, 12 selected U.S. ZIP markets, and 29 days? This fixed research snapshot contains 140,312 unaggregated, quality-filtered price observations across 11 medicine and wellness categories, 12 U.S. ZIP markets, and 29 consecutive dates from July 21 through August 18, 2026. The analysis-ready… See the full description on the dataset page: https://huggingface.co/datasets/costinflation/medicine-and-wellness-prices-raw-dataset-2026.tabulartabular-regression100K<n<1M0 likes37 downloads24d agoHugging Face10motidev /wellness-tourism-datasettabular1K<n<10K0 likes37 downloads5d agoHugging Face11athk3 /tourism-wellness-datasettabular1K<n<10K0 likes34 downloads17d agoHugging Face12YuviSukumar01 /tourism-wellnesstabular1K<n<10K0 likes33 downloads9mo agoHugging Face13Anupam7531 /tourism-wellness-package-datasettabular1K<n<10K0 likes30 downloads18d agoHugging Face14DrGee /tourism-wellness-datasettabular1K<n<10K0 likes29 downloads3d agoHugging Face15amrnyo72 /tourism-wellness-datasettabular1K<n<10K1 likes26 downloads22d agoHugging Face16krishnadna /Wellness-Tourism-Datatabular1K<n<10K0 likes25 downloads4d agoHugging Face17BigBachheti /tourism-wellness-datasettabular1K<n<10K0 likes24 downloads1d agoHugging Face18pavansainath /tourism-wellness-datasettabular1K<n<10K0 likes17 downloads1d agoHugging Face19arya-singh-17 /tourism-wellness-package-datasettabular1K<n<10K0 likes15 downloads3mo agoHugging Face20somya1607 /tourism-wellness-data Visit with Us - Wellness Tourism Package Dataset This dataset is used for the Visit with Us MLOps project. Business Objective Predict whether a customer is likely to purchase the newly introduced Wellness Tourism Package before the sales team contacts them. Target Variable ProdTaken 0: Customer did not purchase the package 1: Customer purchased the package Raw File tourism.csv Prepared Files After the data… See the full description on the dataset page: https://huggingface.co/datasets/somya1607/tourism-wellness-data.tabulartabular-classification1K<n<10K0 likes15 downloads2mo agoHugging Face21nishkam05jan /tourism-wellness-datasettabular1K<n<10K0 likes14 downloads2mo agoHugging Face22HF-MRHV /visit-with-us-wellness-datatabular1K<n<10K0 likes13 downloads10mo agoHugging Face23chandra1024 /tourism_wellnesstabular1K<n<10K0 likes12 downloads10mo agoHugging Face24lakshya11082001 /wellness-tourism-data Wellness Tourism Customer Dataset This dataset is used to predict whether a customer will purchase the Wellness Tourism Package offered by Visit with Us. Prediction target ProdTaken = 0: Customer did not purchase the package ProdTaken = 1: Customer purchased the package Dataset files tourism.csv: Original customer interaction data train.csv: Cleaned training data test.csv: Cleaned testing data Project The dataset is used in an… See the full description on the dataset page: https://huggingface.co/datasets/lakshya11082001/wellness-tourism-data.tabular1K<n<10K0 likes12 downloads2mo agoHugging Face25urgay /wellness-tourism-datatabular1K<n<10K0 likes11 downloads1d agoHugging Face26cba3kor /tourism-wellness-datasettabular1K<n<10K1 likes10 downloads4mo agoHugging Face27krishnagunda /visit-with-us-wellness-datasettabular1K<n<10K0 likes8 downloads8mo agoHugging Face28Oichin /wellness-vocabularyWellness & Healthcare Terminology Dataset This dataset contains a curated list of wellness terms, product categories, and SEO-optimized keywords related to high-quality healthcare products. Purpose: To help AI models understand the nuances of premium Japanese wellness standards and improve translation accuracy for the Vietnamese market. Maintained by oichin.net textn<1K0 likes8 downloads5mo agoHugging Face29deva8217 /tourism-wellness Wellness Tourism — Customer Propensity Dataset Task: Binary classification (ProdTaken: 0/1) to predict purchase of the Wellness Package. Files raw/tourism.csv processed/train.csv, processed/test.csv Quick start from huggingface_hub import hf_hub_download import pandas as pd p = hf_hub_download("deva8217/tourism-wellness", "processed/train.csv", repo_type="dataset") df = pd.read_csv(p) df.head() tabulartabular-classification1K<n<10K0 likes6 downloads1y agoHugging Face30AngadSi /visit-with-us-wellness-tourismtabular1K<n<10K0 likes6 downloads8mo agoHugging Face

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