Scaling and Encoding

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  1. Scaling and Encoding

    Question 1 of 1

    • Load heart_df_clean_pandas.csv as pandas dataframe and: - Scale age, cigsPerDay, totChol, sysBP, diaBP, BMI, heartRate, glucose. - Encode education, Exercise using Ordinal Encoding. - Encode gender using Binary Encoding. - Convert currentSmoker, prevalentStroke, prevalentHyp, diabetes as np array - Remove column BPMeds. - Combine all encoded and scaled features into a single array X. - Set Heart_stroke column as target variable y.