diff --git a/pandas/core/groupby/generic.py b/pandas/core/groupby/generic.py
index f8f1455561c03f..9d14935c3b0452 100644
--- a/pandas/core/groupby/generic.py
+++ b/pandas/core/groupby/generic.py
@@ -693,7 +693,7 @@ def filter(self, func, dropna=True, *args, **kwargs):
         f : function
             Function to apply to each subframe. Should return True or False.
         dropna : Drop groups that do not pass the filter. True by default;
-            if False, groups that evaluate False are filled with NaNs.
+            If False, groups that evaluate False are filled with NaNs.
 
         Returns
         -------
diff --git a/pandas/core/groupby/groupby.py b/pandas/core/groupby/groupby.py
index 6facbe7e01c57a..cf670cd5ee69e6 100644
--- a/pandas/core/groupby/groupby.py
+++ b/pandas/core/groupby/groupby.py
@@ -212,9 +212,9 @@ class providing the base-class of operations.
     string indicating the keyword of `callable` that expects the
     %(klass)s object.
 args : iterable, optional
-       positional arguments passed into `func`.
+       Positional arguments passed into `func`.
 kwargs : dict, optional
-         a dictionary of keyword arguments passed into `func`.
+         A dictionary of keyword arguments passed into `func`.
 
 Returns
 -------
@@ -1254,7 +1254,7 @@ def std(self, ddof=1, *args, **kwargs):
         Parameters
         ----------
         ddof : int, default 1
-            degrees of freedom
+            Degrees of freedom
 
         Returns
         -------
@@ -1277,7 +1277,7 @@ def var(self, ddof=1, *args, **kwargs):
         Parameters
         ----------
         ddof : int, default 1
-            degrees of freedom
+            Degrees of freedom
 
         Returns
         -------
@@ -1312,7 +1312,7 @@ def sem(self, ddof=1):
         Parameters
         ----------
         ddof : int, default 1
-            degrees of freedom
+            Degrees of freedom
 
         Returns
         -------
@@ -1624,7 +1624,7 @@ def pad(self, limit=None):
         Parameters
         ----------
         limit : int, optional
-            limit of how many values to fill
+            Limit of how many values to fill
 
         Returns
         -------
@@ -1650,7 +1650,7 @@ def backfill(self, limit=None):
         Parameters
         ----------
         limit : int, optional
-            limit of how many values to fill
+            Limit of how many values to fill
 
         Returns
         -------
@@ -1682,9 +1682,9 @@ def nth(self, n: Union[int, List[int]], dropna: Optional[str] = None) -> DataFra
         Parameters
         ----------
         n : int or list of ints
-            a single nth value for the row or a list of nth values
+            A single nth value for the row or a list of nth values
         dropna : None or str, optional
-            apply the specified dropna operation before counting which row is
+            Apply the specified dropna operation before counting which row is
             the nth row. Needs to be None, 'any' or 'all'
 
         Returns
@@ -2314,7 +2314,7 @@ def shift(self, periods=1, freq=None, axis=0, fill_value=None):
         Parameters
         ----------
         periods : int, default 1
-            number of periods to shift
+            Number of periods to shift
         freq : frequency string
         axis : axis to shift, default 0
         fill_value : optional