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Heart Disease Prediction using Machine Learning | Machine Learning Projects in python | Project #2
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In this Video, we have developed a machine learning model in python for predicting heart disease. We 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
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
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