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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
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Nestele is a corporate company that has a broad portfolio of brands under its umbrella.Nestele Healthcare produces and commercialises Nutritional Supplements in many European Countries to date. The corporate wants to expand the presence of Peptamant ..
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Context
We collect recent tweets about Pfizer & BioNTech vaccine.
The data is collected using tweepy Python package to access Twitter API.
Inspiration
Study the subjects of recent tweets about the vaccine made in collaboration by Pfizer and BioNT..
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INTRO
This dataset covers the most recent and updated health statistics of the world (countries recognized by WHO- all), BUT the data could not be directly used as the major indicator of various subtopics in the dataset was mixed so I have filtered ..
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Simple exploration and visualization. This dataset doesn't contain enough information for any machine learning so the focus will be on exploring and visualizing the data.Python notebook using data from Countries Life Expectancy
