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The aim of this project is to predict whether a person is having a risk of heart attack or not, using automated machine learning techniques.

A heart occurs when one or more of coronary arteries becomes blocked. Overtime, a build up of fatty deposits, including cholesterol for substances called plaques, which can narrow the arteries. This condition, called coronary artery disease, causes most heart attacks.

A dataset is given in which various attributes are given which are crucial for heart disease detection. Using the data, a model was built using auto Machine learning techniques.

Automated machine learning (AutoML) is the process of automating the tasks of applying machine learning to real-world problem.

In this project we will first use different machine learning algorithm, then we will understand how we can use auto-ml techniques, Eval ML for this project to make the work simpler.

1. Data Analysis
   
2. Feature Engineering
   
3. Standardization
   
4. Model buidling
   
5. Prediction