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Context
The dataset is organized into one folder (Braintumorimages) and contains two subfolders for each image category (Normal/Tumor) with 400 magnetic resonance (MR) images.
Normal (170 MRI)
Tumor (230 MRI)
Acknowledgements
All the images ..
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This is a small dataset that contains information about food groups along with serving information. The dataset contains 8 food items: Vegetables, Fruits, Grains, Dairy, meat, fish, nuts, and fats. For each food group, the following information is pr..
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The data set consists of a detailed training log from a Dutch high-level running team over a period of seven years (2012-2019). We included the middle and long-distance runners of the team, that is, those competing on distances between the 800 meters..
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These are three datasets of esophageal, colorectal and prostate cancer which included information of sociodemographic characteristics of patients, sign and symptom of presentation, imaging and histological characteristics, and TNM stage of cancer. Fu..
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Overview
We are trying to build a machine learning model to accurately predict whether the patients have diabetes or not.our objective is to prevent, cure and to improve the lives of all people affected by diabetes.
Details about the Dataset
The d..
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Content
This dataset shows traffic to and from the Airport as a Percentage of the Traffic volume during the baseline period. The baseline period used for computing this metric is from 1st Feb to 15th March 2020. The dataset gets updated monthly.
Ac..
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Risk of Delevoping Coronary Heart Disease for Various Age Groups
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Use Machine Learning Techniques for prediction
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A dataset for heart attack classification
