diff --git a/ML/2_linear_reg_multivariate/Exercise/exercise_answer.ipynb b/ML/2_linear_reg_multivariate/Exercise/exercise_answer.ipynb
index a270ce7a..f479f0fa 100644
--- a/ML/2_linear_reg_multivariate/Exercise/exercise_answer.ipynb
+++ b/ML/2_linear_reg_multivariate/Exercise/exercise_answer.ipynb
@@ -361,6 +361,9 @@
     "d"
    ]
   },
+#after converting the NaaN values to zero then a numerical 0, why dont we find the median of the experience column then replace the median value with the 0?
+median_experience = d.experience.median()
+d.experience = d.experience.replace(value=median_experience, to_replace=0)
   {
    "cell_type": "code",
    "execution_count": 34,