Data Transformation, Sklearn, Machine Learning, One Hot Encoding, Label Encoding.
df['alone']=np.where(df['alone']==True,1,0) 3. Binary Encoding: Binary encoding is useful for categorical variables with a large number of categories. It represents each category with binary code, reducing the dimensionality of the data compared to one-hot encoding. 5. Frequency Encoding: Frequency