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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How To Improve Memory & Concentration

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There are two types of memory

 
short term and long term memory
 
-  Recall recent events in short-term memory.
 
-  Long term memory contains events that occurred many years ago.
 
 
 
 
 
 

Reasons not to be a memory sharpen

 
-  Lack of concentration.
 
-  Can't store too much information at once
   Stress.
 
-  If the brain has an accident or injury and defects


Measures to sharpen memory

 
- Creating appropriate methods for what we are going to study.
 
-  In order to increase concentration while studying, one should be careful to use a quiet room where there is no loud noise.
 
- Getting enough sleep is important.
 
-  Instead of studying when tired, resting on the brain, studying when the brain is freshened.
 
-  As the body becomes tired, the brain becomes tired, it can be stressed.
 
-  Pay attention to a healthy diet.
 
-  Focusing on one task at a time.
 
-  Revision of the study.
 
-  It is important to maintain consistency in the study.
 
-  It is wrong to study for some time before taking action.
 
-  In the morning, doing yoga is important.

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