Heart Disease Prediction Using Machine Learning
Heart disease is one of the leading causes of death worldwide, claiming millions of lives every year. Early detection and prevention are crucial in reducing the risk of heart disease. In this video, we'll explore how machine learning can be used to predict heart disease with high accuracy.
Using a real-world dataset, we'll walk you through the entire process of building a heart disease prediction model using machine learning algorithms. From data preprocessing to model evaluation, we'll cover it all.
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Timecodes
0:00 - Intro
0:39 - Importing the dataset
2:15 - Data exploration
4:07- Train test split
5:47 - Training the model
7:19 - Testing the model
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