Welcome On Coding Brain:
So in this video tutorial, I have developed a machine learning model in python for predicting heart disease. Machine learning algorithm that will detect whether a person has heart disease or not using machine learning classifier. I have properly explained all the features of the heart disease dataset used for building the machine learning model. In this project we have followed the following steps with proper explanation:
1. Data description
2. Importing Libraries & setting up the environment
3. Loading dataset
4. Data Cleaning & Preprocessing
5. Exploratory Data Analysis
6. Outlier Detection & Removal
7. Training & Test Split
8. Cross-Validation
9. Model Building
10. Model evaluation & comparison
11. Feature Selection
12. Model Evaluation
13. Conclusion
The full source code with the dataset is available at:
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Thankyou :-)
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