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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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Should we say no to Diwali firecrackers? Why or why not?

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 No to Diwali firecracker Should we say no to Diwali firecrackers? Why or why not? Final verdict awaited “We cannot label them as green crackers. No one has the authority to do so as the Supreme Court has not given its final verdict on the matter. It has only given an interim order, in March this year, specifying the various processes to be followed by the manufacturers,” said P Ganesan, President, Tamil Nadu Fireworks & Amorces Manufacturers’ Association (TANFAMA). “Customers will not be able to differentiate between a green cracker and others,” he said. A cross-section of manufacturers that BusinessLine spoke to echo his views. Label as green cracker But they all insist that most players have manufactured the crackers per the green norms prescribed by the apex court. “We adhered to the Court’s norms by producing green crackers and have shipped them. However, it was not possible to label them as green crackers,” said Ganesan. But Krishnan is not willing to buy thi
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