diff --git a/Artificial Neural Network/housePrice.py b/Artificial Neural Network/housePrice.py
new file mode 100644
index 0000000..f82a8e1
--- /dev/null
+++ b/Artificial Neural Network/housePrice.py	
@@ -0,0 +1,9 @@
+import tensorflow as tf
+import numpy as np
+from tensorflow import keras
+model =tf.keras.Sequential([keras.layers.Dense(units=1,input_shape=[1])]) 
+model.compile(optimizer='sgd',loss='mean_squared_error')
+xs = np.array([-1.0,0,1.0,2.0,3.0,4.0,5.0,6.0],dtype = float)
+ys = np.array([0,0.5,1.0,1.5,2.0,2.5,3.0,3.5], dtype = float)
+model.fit(xs,ys,epochs=500)
+print(model.predict([7.0]))