Machine Learning, Gradient Descent, Feature Scaling, Data Preprocessing, Beginners Guide.
features to a range between 0 and 1. It involves dividing each value by the maximum value of the feature. Mean Normalization: Mean normalization centers the values of the features around zero by subtracting the mean and dividing by the difference between the maximum and minimum values. Z-Score