diff --git a/Batchgradientdecent.py b/Batchgradientdecent.py
new file mode 100644
index 0000000..02f9fd6
--- /dev/null
+++ b/Batchgradientdecent.py
@@ -0,0 +1,21 @@
+import numpy as np
+import matplotlib.pyplot as plt
+###############################
+#Datos originales
+###############################
+X = 2 * np.random.rand(100, 1)
+y = 4 + 3 * X + np.random.randn(100,1)
+
+plt.plot(X,y,".")
+###############################
+X_b = np.c_[np.ones((100,1)), X] #Se agrega x0=1 para cada instancia
+eta = 0.1 #Pasos
+n_itera = 1000
+m=100
+
+theta = np.random.randn(2,1) #Inicialización aleatoria
+for iteracion in range (n_itera):
+	gradiente = 2/m * X_b.T.dot(X_b.dot(theta)-y)
+	theta = theta - eta * gradiente
+
+print(theta)
\ No newline at end of file