fill_missing_values_hypothyroid.py

# Replacing null values by mean 
dataset['Age'].fillna(dataset['Age'].mean(), inplace = True)
dataset['T4U'].fillna(dataset['T4U'].mean(), inplace = True)

# Replacing null values by median
dataset['TSH'].fillna(dataset['TSH'].mean(), inplace = True)
dataset['T3'].fillna(dataset['T3'].median(), inplace = True)
dataset['TT4'].fillna(dataset['TT4'].median(), inplace = True)
dataset['FTI'].fillna(dataset['FTI'].median(), inplace = True)

# The gender data looks to be imbalanced with 0 lesser than 1
# Replacing null values with 0
dataset['Gender'].fillna(0, inplace = True)