diff --git a/.github/workflows/documentation.yml b/.github/workflows/documentation.yml
new file mode 100644
index 0000000..b937917
--- /dev/null
+++ b/.github/workflows/documentation.yml
@@ -0,0 +1,28 @@
+name: GitHub Actions
+on: [push]
+jobs:
+  Pages:
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        python-version: [3.8 ]
+    steps:
+      - uses: actions/checkout@v2
+      - name: Set up Python ${{ matrix.python-version }}
+        uses: actions/setup-python@v2
+        with:
+          python-version: ${{ matrix.python-version }}
+      - name: Install dependencies
+        run: pip install poetry
+      - name: Activate venv
+        run: poetry install
+      - name: Build the book
+        run: poetry run mkdocs build --site-dir public
+      - name: GitHub Pages action
+        uses: peaceiris/actions-gh-pages@v3
+        with:
+          github_token: ${{ secrets.GITHUB_TOKEN }}
+          publish_dir: ./public
+          
+
+
diff --git a/README.md b/README.md
index 617e01e..e416d97 100644
--- a/README.md
+++ b/README.md
@@ -9,23 +9,21 @@
 
 This repository serves as a hub for various Cheat Sheets related to 
 the field of Data Science (with Python). What sets these Cheat Sheets apart is their 
-multi-dimensional approach to enhancing the learning experience. 
+multidimensional approach to enhancing the learning experience. 
 Each Cheat Sheet is made available in three distinct formats: **PDF**, **Streamlit**, and **Google Colab**.
 
-This triad of accessibility ensures that learners can engage with the content in 
-a way that suits their preferences and learning style.
-
+This threefold approach to guarantee that learners can interact with the content in 
+a manner that aligns with their preferences and learning style.
 
 **Content**
 
-
-| Topic         | PDF                                                                                                                                                                                                                                              | Streamlit                                                                                                                                                                                                  | Google Colab                                                                                                                                                                                                         |
-|---------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
-| python        | <a href="https://www.youtube.com/watch?v=N97sFMQRDlU&t=2925s&ab_channel=SociedadChilenadeEstad%C3%ADstica" target="_parent"><img src="https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square&logo=adobe&logoColor=white"/></a> | <a href="https://github.com/fralfaro/Soche-Course/blob/main/docs/2020/01_visualizacion/clase_01.pdf" target="_parent"><img src="https://static.streamlit.io/badges/streamlit_badge_black_white.svg"/></a>  | <a href="https://github.com/fralfaro/Soche-Course/blob/main/docs/2020/01_visualizacion/codigo_01.R" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>   |
-| numpy         | <a href="https://www.youtube.com/watch?v=CL2TAKQMaLs&t=7s&ab_channel=SociedadChilenadeEstad%C3%ADstica" target="_parent"><img src="https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square&logo=adobe&logoColor=white"/></a>    | <a href="https://github.com/fralfaro/Soche-Course/blob/main/docs/2020/01_visualizacion/clase_02.pdf" target="_parent"><img src="https://static.streamlit.io/badges/streamlit_badge_black_white.svg"/></a>  | <a href="https://github.com/fralfaro/Soche-Course/blob/main/docs/2020/01_visualizacion/codigo_01.R" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>   |
-| pandas        | <a href="https://www.youtube.com/watch?v=CL2TAKQMaLs&t=7s&ab_channel=SociedadChilenadeEstad%C3%ADstica" target="_parent"><img src="https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square&logo=adobe&logoColor=white"/></a>    | <a href="https://github.com/fralfaro/Soche-Course/blob/main/docs/2020/01_visualizacion/clase_02.pdf" target="_parent"><img src="https://static.streamlit.io/badges/streamlit_badge_black_white.svg"/></a>  | <a href="https://github.com/fralfaro/Soche-Course/blob/main/docs/2020/01_visualizacion/codigo_01.R" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>   |
-| matplotlib    | <a href="https://www.youtube.com/watch?v=CL2TAKQMaLs&t=7s&ab_channel=SociedadChilenadeEstad%C3%ADstica" target="_parent"><img src="https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square&logo=adobe&logoColor=white"/></a>    | <a href="https://github.com/fralfaro/Soche-Course/blob/main/docs/2020/01_visualizacion/clase_02.pdf" target="_parent"><img src="https://static.streamlit.io/badges/streamlit_badge_black_white.svg"/></a>  | <a href="https://github.com/fralfaro/Soche-Course/blob/main/docs/2020/01_visualizacion/codigo_01.R" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>   |
-| scikit-learn  | <a href="https://www.youtube.com/watch?v=CL2TAKQMaLs&t=7s&ab_channel=SociedadChilenadeEstad%C3%ADstica" target="_parent"><img src="https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square&logo=adobe&logoColor=white"/></a>    | <a href="https://github.com/fralfaro/Soche-Course/blob/main/docs/2020/01_visualizacion/clase_02.pdf" target="_parent"><img src="https://static.streamlit.io/badges/streamlit_badge_black_white.svg"/></a>  | <a href="https://github.com/fralfaro/Soche-Course/blob/main/docs/2020/01_visualizacion/codigo_01.R" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>   |
+| Topic         | PDF                                                                                                                                                                                                                                  | Streamlit                                                                                                                                                        | Google Colab                                                                                                                                                                                                                                   |
+|---------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| python        | <a href="https://github.com/fralfaro/DS-Cheat-Sheets/blob/main/docs/files/python_cs.pdf" target="_parent"><img src="https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square&logo=adobe&logoColor=white"/></a>       | <a href="https://ds-cheat-sheets-python.streamlit.app/" target="_parent"><img src="https://static.streamlit.io/badges/streamlit_badge_black_white.svg"/></a>     | <a href="https://colab.research.google.com/github/fralfaro/DS-Cheat-Sheets/blob/main/docs/examples/python/python.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>         |
+| numpy         | <a href="https://github.com/fralfaro/DS-Cheat-Sheets/blob/main/docs/files/numpy_cs.pdf" target="_parent"><img src="https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square&logo=adobe&logoColor=white"/></a>        | <a href="https://ds-cheat-sheets-numpy.streamlit.app/" target="_parent"><img src="https://static.streamlit.io/badges/streamlit_badge_black_white.svg"/></a>      | <a href="https://colab.research.google.com/github/fralfaro/DS-Cheat-Sheets/blob/main/docs/examples/numpy/numpy.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>           |
+| pandas        | <a href="https://github.com/fralfaro/DS-Cheat-Sheets/blob/main/docs/files/pandas_cs.pdf" target="_parent"><img src="https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square&logo=adobe&logoColor=white"/></a>       | <a href="https://ds-cheat-sheets-pandas.streamlit.app/" target="_parent"><img src="https://static.streamlit.io/badges/streamlit_badge_black_white.svg"/></a>     | <a href="https://colab.research.google.com/github/fralfaro/DS-Cheat-Sheets/blob/main/docs/examples/pandas/pandas.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>         |
+| matplotlib    | <a href="https://github.com/fralfaro/DS-Cheat-Sheets/blob/main/docs/files/matplotlib_cs.pdf" target="_parent"><img src="https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square&logo=adobe&logoColor=white"/></a>   | <a href="https://ds-cheat-sheets-matplotlib.streamlit.app/" target="_parent"><img src="https://static.streamlit.io/badges/streamlit_badge_black_white.svg"/></a> | <a href="https://colab.research.google.com/github/fralfaro/DS-Cheat-Sheets/blob/main/docs/examples/matplotlib/matplotlib.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a> |
+| scikit-learn  | <a href="https://github.com/fralfaro/DS-Cheat-Sheets/blob/main/docs/files/scikit-learn_cs.pdf" target="_parent"><img src="https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square&logo=adobe&logoColor=white"/></a> | <a href="https://ds-cheat-sheets-sklearn.streamlit.app/" target="_parent"><img src="https://static.streamlit.io/badges/streamlit_badge_black_white.svg"/></a>    | <a href="https://colab.research.google.com/github/fralfaro/DS-Cheat-Sheets/blob/main/docs/examples/scikit-learn/sklearn.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>  |
 
 > **Note**: The PDF format cheat sheets included here are authored by other contributors and have been used as sources of inspiration for the content presented.
 
diff --git a/docs/index.md b/docs/index.md
index 0493bdf..6c5161d 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -5,22 +5,22 @@
 
 This repository serves as a hub for various Cheat Sheets related to 
 the field of Data Science (with Python). What sets these Cheat Sheets apart is their 
-multi-dimensional approach to enhancing the learning experience. 
+multidimensional approach to enhancing the learning experience. 
 Each Cheat Sheet is made available in three distinct formats: **PDF**, **Streamlit**, and **Google Colab**.
 
-This triad of accessibility ensures that learners can engage with the content in 
-a way that suits their preferences and learning style.
+This threefold approach to guarantee that learners can interact 
+with the content in a manner that aligns with their preferences and learning style.
 
 
 **Content**
 
-| Topic         | PDF                                                                                                                                                                                                                                  | Streamlit                                                                                                                                                                                                  | Google Colab                                                                                                                                                                                                                                   |
-|---------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
-| python        | <a href="https://github.com/fralfaro/DS-Cheat-Sheets/blob/main/docs/files/python_cs.pdf" target="_parent"><img src="https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square&logo=adobe&logoColor=white"/></a>       | <a href="https://github.com/fralfaro/Soche-Course/blob/main/docs/2020/01_visualizacion/clase_01.pdf" target="_parent"><img src="https://static.streamlit.io/badges/streamlit_badge_black_white.svg"/></a>  | <a href="https://colab.research.google.com/github/fralfaro/DS-Cheat-Sheets/blob/main/docs/examples/python/python.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>         |
-| numpy         | <a href="https://github.com/fralfaro/DS-Cheat-Sheets/blob/main/docs/files/numpy_cs.pdf" target="_parent"><img src="https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square&logo=adobe&logoColor=white"/></a>        | <a href="https://github.com/fralfaro/Soche-Course/blob/main/docs/2020/01_visualizacion/clase_02.pdf" target="_parent"><img src="https://static.streamlit.io/badges/streamlit_badge_black_white.svg"/></a>  | <a href="https://colab.research.google.com/github/fralfaro/DS-Cheat-Sheets/blob/main/docs/examples/numpy/numpy.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>           |
-| pandas        | <a href="https://github.com/fralfaro/DS-Cheat-Sheets/blob/main/docs/files/pandas_cs.pdf" target="_parent"><img src="https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square&logo=adobe&logoColor=white"/></a>       | <a href="https://github.com/fralfaro/Soche-Course/blob/main/docs/2020/01_visualizacion/clase_02.pdf" target="_parent"><img src="https://static.streamlit.io/badges/streamlit_badge_black_white.svg"/></a>  | <a href="https://colab.research.google.com/github/fralfaro/DS-Cheat-Sheets/blob/main/docs/examples/pandas/pandas.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>         |
-| matplotlib    | <a href="https://github.com/fralfaro/DS-Cheat-Sheets/blob/main/docs/files/matplotlib_cs.pdf" target="_parent"><img src="https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square&logo=adobe&logoColor=white"/></a>   | <a href="https://github.com/fralfaro/Soche-Course/blob/main/docs/2020/01_visualizacion/clase_02.pdf" target="_parent"><img src="https://static.streamlit.io/badges/streamlit_badge_black_white.svg"/></a>  | <a href="https://colab.research.google.com/github/fralfaro/DS-Cheat-Sheets/blob/main/docs/examples/matplotlib/matplotlib.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a> |
-| scikit-learn  | <a href="https://github.com/fralfaro/DS-Cheat-Sheets/blob/main/docs/files/scikit-learn_cs.pdf" target="_parent"><img src="https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square&logo=adobe&logoColor=white"/></a> | <a href="https://github.com/fralfaro/Soche-Course/blob/main/docs/2020/01_visualizacion/clase_02.pdf" target="_parent"><img src="https://static.streamlit.io/badges/streamlit_badge_black_white.svg"/></a>  | <a href="https://colab.research.google.com/github/fralfaro/DS-Cheat-Sheets/blob/main/docs/examples/scikit-learn/sklearn.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>  |
+| Topic         | PDF                                                                                                                                                                                                                                  | Streamlit                                                                                                                                                        | Google Colab                                                                                                                                                                                                                                   |
+|---------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| python        | <a href="https://github.com/fralfaro/DS-Cheat-Sheets/blob/main/docs/files/python_cs.pdf" target="_parent"><img src="https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square&logo=adobe&logoColor=white"/></a>       | <a href="https://ds-cheat-sheets-python.streamlit.app/" target="_parent"><img src="https://static.streamlit.io/badges/streamlit_badge_black_white.svg"/></a>     | <a href="https://colab.research.google.com/github/fralfaro/DS-Cheat-Sheets/blob/main/docs/examples/python/python.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>         |
+| numpy         | <a href="https://github.com/fralfaro/DS-Cheat-Sheets/blob/main/docs/files/numpy_cs.pdf" target="_parent"><img src="https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square&logo=adobe&logoColor=white"/></a>        | <a href="https://ds-cheat-sheets-numpy.streamlit.app/" target="_parent"><img src="https://static.streamlit.io/badges/streamlit_badge_black_white.svg"/></a>      | <a href="https://colab.research.google.com/github/fralfaro/DS-Cheat-Sheets/blob/main/docs/examples/numpy/numpy.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>           |
+| pandas        | <a href="https://github.com/fralfaro/DS-Cheat-Sheets/blob/main/docs/files/pandas_cs.pdf" target="_parent"><img src="https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square&logo=adobe&logoColor=white"/></a>       | <a href="https://ds-cheat-sheets-pandas.streamlit.app/" target="_parent"><img src="https://static.streamlit.io/badges/streamlit_badge_black_white.svg"/></a>     | <a href="https://colab.research.google.com/github/fralfaro/DS-Cheat-Sheets/blob/main/docs/examples/pandas/pandas.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>         |
+| matplotlib    | <a href="https://github.com/fralfaro/DS-Cheat-Sheets/blob/main/docs/files/matplotlib_cs.pdf" target="_parent"><img src="https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square&logo=adobe&logoColor=white"/></a>   | <a href="https://ds-cheat-sheets-matplotlib.streamlit.app/" target="_parent"><img src="https://static.streamlit.io/badges/streamlit_badge_black_white.svg"/></a> | <a href="https://colab.research.google.com/github/fralfaro/DS-Cheat-Sheets/blob/main/docs/examples/matplotlib/matplotlib.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a> |
+| scikit-learn  | <a href="https://github.com/fralfaro/DS-Cheat-Sheets/blob/main/docs/files/scikit-learn_cs.pdf" target="_parent"><img src="https://img.shields.io/badge/Open in PDF-%23FF0000.svg?style=flat-square&logo=adobe&logoColor=white"/></a> | <a href="https://ds-cheat-sheets-sklearn.streamlit.app/" target="_parent"><img src="https://static.streamlit.io/badges/streamlit_badge_black_white.svg"/></a>    | <a href="https://colab.research.google.com/github/fralfaro/DS-Cheat-Sheets/blob/main/docs/examples/scikit-learn/sklearn.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>  |
 
 > **Note**: The PDF format cheat sheets included here are authored by other contributors and have been used as sources of inspiration for the content presented.