Merge pull request #251455 from v-akarnase/patch-7

Update apache-spark-ipython-notebook-machine-learning.md

Author: prmerger-automator[bot]

articles/hdinsight/spark/apache-spark-ipython-notebook-machine-learning.md

@@ -4,7 +4,7 @@ description: Tutorial - Step-by-step instructions on how to build Apache Spark m
 ms.service: hdinsight
 ms.topic: tutorial
 ms.custom: hdinsightactive,mvc, devx-track-python
-ms.date: 08/28/2022
+ms.date: 09/14/2023
 
 # Customer intent: As a developer new to Apache Spark and to Apache Spark in Azure HDInsight, I want to learn how to create a simple machine learning Spark application.
 ---
@@ -81,7 +81,7 @@ This application uses a Spark [ML pipeline](https://spark.apache.org/docs/2.2.0/
 
     In the code snippet, you define a function that compares the actual temperature with the target temperature. If the actual temperature is greater, the building is hot, denoted by the value **1.0**. Otherwise the building is cold, denoted by the value **0.0**.
 
-1. Configure the Spark machine learning pipeline that consists of three stages: tokenizer, hashingTF, and lr.
+1. Configure the Spark machine learning pipeline that consists of three stages: `tokenizer`, `hashingTF`, and `lr`.
 
     ```PySpark
     tokenizer = Tokenizer(inputCol="SystemInfo", outputCol="words")