[skip-ci] More suggestions from review

docs/cudf/source/user_guide/dask-cudf.md

@@ -3,14 +3,14 @@
 cuDF is a single-GPU library. For Multi-GPU cuDF solutions we use
 [Dask](https://dask.org/) and the [dask-cudf
 package](https://github.com/rapidsai/cudf/tree/main/python/dask_cudf),
-which is able to scale cuDF across multiple GPUs on a single machine, or
-multiple GPUs across many machines in a cluster.
+which is able to scale cuDF across multiple GPUs on a single machine,
+or multiple GPUs across many machines in a cluster.
 
 [Dask DataFrame](http://docs.dask.org/en/latest/dataframe.html) was
 originally designed to scale Pandas, orchestrating many Pandas
 DataFrames spread across many CPUs into a cohesive parallel DataFrame.
-Because cuDF currently implements only a subset of Pandas’s API, not all
-Dask DataFrame operations work with cuDF.
+Because cuDF currently implements only a subset of the Pandas API, not
+all Dask DataFrame operations work with cuDF.
 
 The following is tested and expected to work:
 

docs/cudf/source/user_guide/internals.md

@@ -49,20 +49,18 @@ As another example, the `StringColumn` backing the Series
 `['do', 'you', 'have', 'any', 'cheese?']` is composed of:
 
 1. No data buffer
-
 2. No mask buffer as there are no nulls in the Series
-
 3. Two children columns:
 
    > - A column of UTF-8 characters
-   >   `['d', 'o', 'y', 'o', 'u', h' ... '?']`
+   >   `['d', 'o', 'y', 'o', 'u', 'h' ..., '?']`
    > - A column of "offsets" to the characters column (in this case,
    >   `[0, 2, 5, 9, 12, 19]`)
 
 ## Buffer
 
 The data and mask buffers of a column represent data in GPU memory
-(a.k.a *device memory*), and are object of type
+(a.k.a *device memory*), and are objects of type
 `cudf.core.buffer.Buffer`.
 
 Buffers can be constructed from array-like objects that live either on