diff --git a/RegresionRidge.py b/RegresionRidge.py
new file mode 100644
index 0000000..46ccda7
--- /dev/null
+++ b/RegresionRidge.py
@@ -0,0 +1,21 @@
+from sklearn.linear_model import Ridge
+from sklearn.preprocessing import PolynomialFeatures
+import numpy as np
+import matplotlib.pyplot as plt
+###############################
+#Datos originales
+###############################
+m = 100
+X = 6 * np.random.rand(m, 1) - 3
+y = 0.5 * X**2 + X + 2 + np.random.randn(m, 1)
+
+plt.plot(X,y,".")
+###############################
+poly_features = PolynomialFeatures(degree=2, include_bias=False)
+X_pol = poly_features.fit_transform(X)
+ridge_reg = Ridge(alpha=1, solver="cholesky")
+ridge_reg.fit(X_pol, y)
+yout=ridge_reg.predict(X_pol)
+print(ridge_reg.predict(1.5,2))
+plt.plot(X,yout,"*")
+plt.show()
\ No newline at end of file