Q1. Unit normalize in preprocess

utils.py

@@ -6,6 +6,7 @@
 import matplotlib.pyplot as plt
 from sklearn.metrics import accuracy_score
 from joblib import dump,load
+from sklearn import preprocessing
 
 #read gigits
 def read_digits():
@@ -17,7 +18,9 @@ def read_digits():
 # We will define utils here :
 def preprocess_data(data):
     n_samples = len(data)
+
     data = data.reshape((n_samples, -1))
+    data = preprocessing.normalize(data, norm='l2')
     return data
 
 # Split data into 50% train and 50% test subsets