Data Transformation, Sklearn, Machine Learning, One Hot Encoding, Label Encoding.
df.head() 3- One-Hot Encoding In machine learning, “one-hot encoding” is a technique used to represent categorical variables as binary vectors. Each category is assigned a unique binary code, where only one bit is ‘hot’ (1), and the others are ‘cold’ (0). This method ensures that the model