Mean Normalization & Data Separation with NumPy

● Project required use of the following: Python, NumPy, Jupyter Notebook.

● coded in Python & NumPy to preform mean normalization on a data set, so that all values became distributed evenly around zero, guaranteeing the average of all elements is close to zero.
● preformed Data Separation on the data using NumPy's np.random.permutation().
● generated 3 datasets (Training 60%, Validation 20%, Test 20%) so that machine learning operations can be preformed.