Heart Disease Prediction Using Machine Learning

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Heart Disease Prediction Using Machine Learning Heart Disease Prediction Using Machine Learning Data visualization package A machine learning model which will predict whether patient having a heart disease or not. When applied clear nearest neighbour algorithm for this application so let us start. So first step input packages it imported numpy brand as a metal clip packages number, pandas are packages are data science packages and metal of lip is a data visualization packages so in this application when used K nearest neighbor classifier, So I imported then since this is a Google collab environment, So I cannot drive data set from on this environment so with help of this command I have plotted data set this is the data set. Testing I uploaded after that and this data is saved in DF variable. So after that this is a div dot info let's run. So DF without info gave us insights of that data set, like the features in this data set we have 14 features, so and 14
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10 health benefits by this seeds.

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Ajwain or carom seeds
Ajwain that is carom seeds contain many health benefits as it contains ingredient such as calcium,potassium,phosphorus,iodine,carotene.
Drinking half teaspoon of ajwain in boiled water with addition with small amount of salts
can solve many health problems.

These are the main benefits as follows,

  • Reduces the chances of diabetes.
  • The possibilities of heart disease can be avoided.
  • Reduce toothache and mouth odor.
  • Stomach illness and constipation go away.
  • Relieves kidney stone and pain.
  • Meals are quickly digested.
  • Metabolism increases, weight loss.
  • Drinking twice a day reduce diarrhea.
  • Relieves indigestion, acidity.
  • Colds,phlegm and asthma problems go away.

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Heart Disease Prediction Using Machine Learning

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