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for predicting houses prices from its (grade, bathrooms, lat, sqft_living, view) & whether patient have heart disease from its (trestbps, chol,thalach, oldpeak) used dataset of houses contains 21613 records & of patients contain 303 records (80% of dataset for training & rest for testing) & contains visualization & analysis of dataset & the model