[docs] fixed consistency of lists (#1810)

README.md

@@ -17,7 +17,7 @@ LightGBM is a gradient boosting framework that uses tree based learning algorith
 - Faster training speed and higher efficiency.
 - Lower memory usage.
 - Better accuracy.
-- Parallel and GPU learning supported.
+- Support of parallel and GPU learning.
 - Capable of handling large-scale data.
 
 For further details, please refer to [Features](https://github.com/Microsoft/LightGBM/blob/master/docs/Features.rst).

docs/index.rst

@@ -8,11 +8,11 @@ Welcome to LightGBM's documentation!
 
 **LightGBM** is a gradient boosting framework that uses tree based learning algorithms. It is designed to be distributed and efficient with the following advantages:
 
-- Faster training speed and higher efficiency
-- Lower memory usage
-- Better accuracy
-- Parallel and GPU learning supported
-- Capable of handling large-scale data
+- Faster training speed and higher efficiency.
+- Lower memory usage.
+- Better accuracy.
+- Support of parallel and GPU learning.
+- Capable of handling large-scale data.
 
 For more details, please refer to `Features <./Features.rst>`__.