Fix typo

python -> Python

Author: changeworld

articles/machine-learning/how-to-convert-custom-model-to-mlflow.md

@@ -25,15 +25,15 @@ With Azure Machine Learning, MLflow models get the added benefits of,
 
 MLflow provides support for a variety of [machine learning frameworks](https://mlflow.org/docs/latest/models.html#built-in-model-flavors) (scikit-learn, Keras, Pytorch, and more); however, it might not cover every use case. For example, you may want to create an MLflow model with a framework that MLflow does not natively support or you may want to change the way your model does pre-processing or post-processing when running jobs. To know more about MLflow models read [From artifacts to models in MLflow](concept-mlflow-models.md).
 
-If you didn't train your model with MLFlow and want to use Azure Machine Learning's MLflow no-code deployment offering, you need to convert your custom model to MLFLow. Learn more about [custom python models and MLflow](https://mlflow.org/docs/latest/models.html#custom-python-models).
+If you didn't train your model with MLFlow and want to use Azure Machine Learning's MLflow no-code deployment offering, you need to convert your custom model to MLFLow. Learn more about [custom Python models and MLflow](https://mlflow.org/docs/latest/models.html#custom-python-models).
 
 ## Prerequisites
 
 Only the mlflow package installed is needed to convert your custom models to an MLflow format. 
 
 ## Create a Python wrapper for your model
 
-Before you can convert your model to an MLflow supported format, you need to first create a python wrapper for your model.
+Before you can convert your model to an MLflow supported format, you need to first create a Python wrapper for your model.
 The following code demonstrates how to create a Python wrapper for an `sklearn` model.
 
 ```python