diff --git a/machine_learning/random_forest_regressor.py b/machine_learning/random_forest_regressor.py
index f6c470f09..f78b6bbd0 100644
--- a/machine_learning/random_forest_regressor.py
+++ b/machine_learning/random_forest_regressor.py
@@ -10,8 +10,8 @@ from sklearn.metrics import mean_squared_error
 def main():
 
     """
-    Random Tree Regressor Example using sklearn function.
-    Boston house price dataset is used to demonstrate algorithm.
+    Random Forest Regressor Example using sklearn function.
+    Boston house price dataset is used to demonstrate the algorithm.
     """
 
     # Load Boston house price dataset