diff --git a/README.md b/README.md
index ced66faec..19242f0d9 100755
--- a/README.md
+++ b/README.md
@@ -19,7 +19,7 @@ In the figure, **Data** is provided by user and
 **Portfolio** is a predefined pool of machine learning algorithms, e.g. LightGBM and support vector machine, to solve either
 regression or classification task on the provided dataset.
 Then API starts the following procedures:
-1. **Validate input data**: Process each data type that can be handled by Auto-Pytorch such as encoding categorical data
+1. **Validate input data**: Process each data type, e.g. encoding categorical data, so that Auto-Pytorch can handled
 2. **Create dataset**: Create a dataset that can be handled in this API including cross validation splits
 3. **Evaluate baselines**: Train each algorithm in the predefined pool with a fixed hyperparameter configuration and dummy model from `sklearn.dummy` that represents the worst possible performance
 4. **Search by [SMAC](https://github.com/automl/SMAC3)**:\