Created
August 1, 2020 09:02
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Heart disease prediction
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Dataset url : | |
https://raw.githubusercontent.com/manishanker/stats_ml_jun2020/master/datasets_737503_1278636_heart.csv | |
Attribute Information | |
1) age | |
2) sex | |
3) chest pain type (4 values) | |
4) resting blood pressure | |
5) serum cholestoral in mg/dl | |
6)fasting blood sugar > 120 mg/dl | |
7) resting electrocardiographic results (values 0,1,2) | |
8) maximum heart rate achieved | |
9) exercise induced angina | |
10) oldpeak = ST depression induced by exercise relative to rest | |
11)the slope of the peak exercise ST segment | |
12) number of major vessels (0-3) colored by flourosopy | |
13) thal: 0 = normal; 1 = fixed defect; 2 = reversable defect | |
14) target: 0= less chance of heart attack 1= more chance of heart attack | |
Assignment: | |
1) Import Packages | |
2) EDA - Histograms, | |
3) Preparing ML models | |
4) Models evaluation - see which model works well. Logistic or Decision (careful with overfitting using Decision Trees) | |
5) Conclusion - [Choose the model which has higher precision in finding people with Heart Disease] |
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