gistfile1.txt

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, Pairplot, Countplot, correlation

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]