diff --git a/learn-pycaret/official-blog/easy-mlops-with-pycaret-and-mlflow.md b/learn-pycaret/official-blog/easy-mlops-with-pycaret-and-mlflow.md
index d2b88f4..52e0f7d 100644
--- a/learn-pycaret/official-blog/easy-mlops-with-pycaret-and-mlflow.md
+++ b/learn-pycaret/official-blog/easy-mlops-with-pycaret-and-mlflow.md
@@ -130,7 +130,7 @@ This confirms our hypothesis. The transformation will help us to get away with s
 
 ### 👉 Data Preparation
 
-Common to all modules in PyCaret, the setup is the first and the only mandatory step in any machine learning experiment using PyCaret. This function takes care of all the data preparation required prior to training models. Besides performing some basic default processing tasks, PyCaret also offers a wide array of pre-processing features. To learn more about all the preprocessing functionalities in PyCaret, you can see this [link](https://pycaret.org/preprocessing/).
+Common to all modules in PyCaret, the setup is the first and the only mandatory step in any machine learning experiment using PyCaret. This function takes care of all the data preparation required prior to training models. Besides performing some basic default processing tasks, PyCaret also offers a wide array of pre-processing features. To learn more about all the preprocessing functionalities in PyCaret, you can see this [link](https://pycaret.gitbook.io/docs/get-started/preprocessing).
 
 ```
 **# initialize setup**