diff --git a/python/cuml/ensemble/randomforestregressor.pyx b/python/cuml/ensemble/randomforestregressor.pyx
index ad84489bd2..96a197e5c5 100644
--- a/python/cuml/ensemble/randomforestregressor.pyx
+++ b/python/cuml/ensemble/randomforestregressor.pyx
@@ -177,8 +177,9 @@ class RandomForestRegressor(BaseRandomForestModel,
          * If type ``float`` then ``max_features`` is used as a fraction.
          * If ``'sqrt'`` then ``max_features=1/sqrt(n_features)``.
          * If ``'log2'`` then ``max_features=log2(n_features)/n_features``.
+
         .. versionchanged:: 24.06
-            The default of `max_features` changed from `"auto"` to 1.0.
+          The default of `max_features` changed from `"auto"` to 1.0.
 
     n_bins : int (default = 128)
         Maximum number of bins used by the split algorithm per feature.
diff --git a/python/cuml/experimental/linear_model/lars.pyx b/python/cuml/experimental/linear_model/lars.pyx
index d00057a099..9f2da7ea3b 100644
--- a/python/cuml/experimental/linear_model/lars.pyx
+++ b/python/cuml/experimental/linear_model/lars.pyx
@@ -90,8 +90,10 @@ class Lars(Base, RegressorMixin):
         If True, the predictors in X will be normalized by removing its mean
         and dividing by it's variance. If False, then the solver expects that
         the data is already normalized.
+
         .. versionchanged:: 24.06
             The default of `normalize` changed from `True` to `False`.
+
     copy_X : boolean (default = True)
         The solver permutes the columns of X. Set `copy_X` to True to prevent
         changing the input data.