diff --git a/LICENSE.md b/LICENSE.md
index 43bde2141..6ab7455b7 100644
--- a/LICENSE.md
+++ b/LICENSE.md
@@ -1,6 +1,6 @@
 BSD 3-Clause License
 
-Copyright (c) 2018-2021 The Feature-engine developers.
+Copyright (c) 2018-2022 The Feature-engine developers.
 All rights reserved.
 
 Redistribution and use in source and binary forms, with or without
diff --git a/README.md b/README.md
index 0ea6c0138..5e074643a 100644
--- a/README.md
+++ b/README.md
@@ -14,7 +14,7 @@
 [![DOI](https://joss.theoj.org/papers/10.21105/joss.03642/status.svg)](https://doi.org/10.21105/joss.03642)
 
 
-[<img src="./docs/images/logo/FeatureEngine.png" width="248">](http://feature-engine.readthedocs.io)
+[<img src="https://github.com/feature-engine/feature_engine/blob/main/docs/images/logo/FeatureEngine.png" width="248">](http://feature-engine.readthedocs.io)
 
 Feature-engine is a Python library with multiple transformers to engineer and select features for use in machine learning models. 
 Feature-engine's transformers follow Scikit-learn's functionality with fit() and transform() methods to learn the 
@@ -120,6 +120,9 @@ transforming parameters from the data and then transform it.
  * RecursiveFeatureAddition
  * DropHighPSIFeatures
 
+### Datetime
+ * DatetimeFeatures
+ 
 ### Preprocessing
  * MatchVariables
  
@@ -218,5 +221,5 @@ BSD 3-Clause
 
 ## Donate
 
-[Sponsor the maintainer](https://github.com/sponsors/solegalli) to support her continue expanding 
+[Sponsor us](https://github.com/sponsors/solegalli) to support her continue expanding 
 Feature-engine.
\ No newline at end of file
diff --git a/docs/resources/blogs.rst b/docs/resources/blogs.rst
index 461293abc..56bbc1e57 100644
--- a/docs/resources/blogs.rst
+++ b/docs/resources/blogs.rst
@@ -19,6 +19,7 @@ Blogs
 Videos
 ------
 
+- `Streamlining Feature Engineering Pipes with Feature-engine <https://www.youtube.com/watch?v=0V3_uXX30Ko>`_, Data Science Festival, 2020.
 - `Optimising Feature Engineering Pipelines with Feature-engine <https://www.youtube.com/watch?v=qT-3KUaFYmk/>`_, Pydata Cambridge 2020, from minute 51:43.
 
 
diff --git a/docs/user_guide/selection/DropHighPSIFeatures.rst b/docs/user_guide/selection/DropHighPSIFeatures.rst
index 65ccb785f..24a0a8714 100644
--- a/docs/user_guide/selection/DropHighPSIFeatures.rst
+++ b/docs/user_guide/selection/DropHighPSIFeatures.rst
@@ -1,4 +1,4 @@
-6).. _psi_selection:
+.. _psi_selection:
 
 .. currentmodule:: feature_engine.selection
 
diff --git a/feature_engine/selection/drop_psi_features.py b/feature_engine/selection/drop_psi_features.py
index 80d937ce5..b98f21a36 100644
--- a/feature_engine/selection/drop_psi_features.py
+++ b/feature_engine/selection/drop_psi_features.py
@@ -65,6 +65,8 @@ class DropHighPSIFeatures(BaseSelector):
     values in the list, will go to the basis set, and the remaining ones to the test
     set.
 
+    More details in the :ref:`User Guide <psi_selection>`.
+
     References
     ----------
     https://scholarworks.wmich.edu/cgi/viewcontent.cgi?article=4249&context=dissertations
diff --git a/setup.py b/setup.py
index be56fd423..96a125c82 100644
--- a/setup.py
+++ b/setup.py
@@ -5,7 +5,7 @@
 # Package meta-data.
 NAME = "feature_engine"
 DESCRIPTION = "Feature engineering package with Scikit-learn's fit transform functionality"
-URL = "http://github.com/solegalli/feature_engine"
+URL = "http://github.com/feature-engine/feature_engine"
 EMAIL = "solegalli@protonmail.com"
 AUTHOR = "Soledad Galli"
 REQUIRES_PYTHON = ">=3.6.0"