datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Stroke_Prediction_DatasetStroke_Prediction_Dataset
Stroke Prediction Dataset Analysis
Presentation Video
Project Overview
The goal of this project is to predict the likelihood of a patient suffering a stroke based on demographic, health, and lifestyle parameters. Stroke is a leading cause of death and long-term disability worldwide, and early identification of high-risk individuals can significantly improve prevention strategies and clinical outcomes.
Dataset Summary
Source: Kaggle – Stroke… See the full description on the dataset page: https://huggingface.co/datasets/nadiCR7/Stroke_Prediction_Dataset.stroke-prediction-dataset
🩺 Healthcare Stroke Prediction Tabular Dataset
🤝 Engineering Team (2024): Oussama EL HADJI • Radia BAHAYA • Oualid GHAFFARI • Imane SADOG
A curated clinical tabular dataset of 5,110 patient records designed for supervised classification of cerebrovascular events (strokes). Contains demographic attributes, lifestyle risk indicators, and physiological biomarkers.
👥 Project Engineering Team
Oussama EL HADJI — Machine Learning Modeling &… See the full description on the dataset page: https://huggingface.co/datasets/bosaj/stroke-prediction-dataset.stroke-prediction-eda-yuval-malkaStroke Prediction Dataset — Exploratory Data Analysis (EDA)
By Yuval Malka
Project Overview
This project explores the Stroke Prediction Dataset from Kaggle, containing 5,110 rows and 12 features related to demographics, health indicators, and lifestyle factors.
The goal is to understand which factors may be associated with the likelihood of having a stroke by performing a full Exploratory Data Analysis (EDA).
The target variable is:
stroke → 0 = No Stroke, 1 = Stroke
This README summarizes… See the full description on the dataset page: https://huggingface.co/datasets/Yuvalos/stroke-prediction-eda-yuval-malka.