Update notebook

Author: HowardRiddiough

deploying-python-ml-in-pyspark.ipynb

@@ -298,9 +298,9 @@
  "----\n",
  "The `spark_predict` function defined in this notebook is a versatile solution to python ml deployment in PySpark. \n",
  "We have demonstrated it's use in three **deployment** examples:\n",
- "- Simple `RandomForestRegressor`\n",
- "- Ml `Pipeline` that scales numerical features\n",
- "- ML `Pipeline` that is capable of processing mixed feature types"
+ "- Deploying a RandomForestRegressor in PySpark\n",
+ "- Deployment of ML Pipeline that scales numerical features\n",
+ "- Deployment of ML Pipeline that is capable of preprocessing mixed feature types"
  ]
  }
  ],