diff --git a/linear-regression-parkinsons.py b/linear-regression-parkinsons.py
index e05e791..0104df7 100644
--- a/linear-regression-parkinsons.py
+++ b/linear-regression-parkinsons.py
@@ -1,29 +1,5 @@
 import numpy as np
 import pandas as pd
-import matplotlib.pyplot as plt
-
-
-class LinearRegression:
-    def __init__(self, add_bias = True)
-    self.add_bias = add_bias
-    pass
-
-    def fit(self,x,y):
-        if x.dim == 1:
-            x = x[:,None]
-        N = x.shape[0]
-        if self.add_bias:
-            x = np.column_stack ([x,np.ones(N)])
-        self.w = np.linalg.lstsq(x,y)[0]
-        return self
-
-    def predict(self,x)
-        if self.add_bias:
-            x = np.column_stack ([x,np.ones(N)])
-        yh = x@self.w
-        return yh
-    
-
 
 class LinearRegression:
     '''
diff --git a/logistic-regression-wdbc.py b/logistic-regression-wdbc.py
index 75e9f6f..52d4664 100644
--- a/logistic-regression-wdbc.py
+++ b/logistic-regression-wdbc.py
@@ -1,7 +1,6 @@
 import numpy as np
 import pandas as pd
 
-
 class LogisticRegression:
     '''
         Constructor for the logistic regression with gradient descent. It uses learning rate, iteration number,
diff --git a/mini-batch-sgd-logistic-regression-wdbc.py b/mini-batch-sgd-logistic-regression-wdbc.py
index e132b8e..66fb5b4 100644
--- a/mini-batch-sgd-logistic-regression-wdbc.py
+++ b/mini-batch-sgd-logistic-regression-wdbc.py
@@ -1,7 +1,6 @@
 import numpy as np
 import pandas as pd
 
-
 class LogisticRegression:
     '''
         Constructor for the logistic regression with gradient descent. It uses learning rate, iteration number,