Adding fix from TheAlgorithms#1056 -- thanks @QuantumNovice

Author: cclauss

machine_learning/random_forest_regression/random_forest_regression.py

@@ -30,7 +30,7 @@
 regressor.fit(X, y)
 
 # Predicting a new result
-y_pred = regressor.predict(6.5).reshape(1, -1)
+y_pred = regressor.predict([[6.5]])
 
 # Visualising the Random Forest Regression results (higher resolution)
 X_grid = np.arange(min(X), max(X), 0.01)