Heart attack Prediction

The main aim of this project is to predict whether a person is having a risk of heart attack or not, using automated machine learning techniques. In this project we are using a data set in which various attributes are given which are crucial for heart disease detection, using this data we will build a model using Auto ML Techniques.

Created by

Project Bank

00:32:30 Hours

5 Enrolled

    • (1 Reviews)

English

Last updated

Fri, 28-Apr-2023

Course description

To build a heart attack prediction model, first, a dataset is collected that includes information about patients who have suffered from heart attacks in the past, as well as individuals who have not experienced heart attacks. This dataset is then split into a training set and a test set.Overall, the heart attack prediction using ML is a promising approach to identify individuals who are at high risk of heart attack and may benefit from preventative measures, such as lifestyle modifications or medication.

What will i learn?

  • Understanding the problem statement.

Requirements

  • Machine learning

Project Bank

View profile

ev reddy

16-Jun-2023

4

Great short course! I was able to easily fit all the mini-lectures into my busy schedule by watching them while on public transit to work and uni allowing me to make greater use of my time!

Rp 1299

Rp 4999

Lectures

7

Skill level

Intermediate

Expiry period

Lifetime

Certificate

Yes
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