Skip to content
View ClearNote97's full-sized avatar
1 follower · 0 following
  • Freelance
  • Cartagena

Block or report ClearNote97

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Popular repositories Loading

  1. IBM-Data-Analyst-and-Scientist-Proffesional-Certificate-Content IBM-Data-Analyst-and-Scientist-Proffesional-Certificate-Content Public

    Basketball Team Performance Analysis: Confidently create classification models and explore team performance using data analysis techniques.

    Jupyter Notebook

  2. IBM-Data-Analytics-and-Visualization-Capstone-Project IBM-Data-Analytics-and-Visualization-Capstone-Project Public

    Programming Languages and DBMS Usage Analysis: A data-driven exploration of future perspectives, trends, and insights.

    Jupyter Notebook

  3. IBM-Data-Science-and-Machine-Learning-Capstone-Project IBM-Data-Science-and-Machine-Learning-Capstone-Project Public

    Embark on a Space Adventure: Analyzing Successful SpaceX Launches with Jupyter Notebooks.

    Jupyter Notebook

  4. Colombian-Judicial-Distircts-Choropleth-Map Colombian-Judicial-Distircts-Choropleth-Map Public

    A Python project to create a Choropleth map of the Colombian Judicial Districts' territorial distribution, and accidentally highlighting the territorial gaps in the judicial system.

    Jupyter Notebook

  5. ClearNote_Config_VSCode ClearNote_Config_VSCode Public

    Mi Plantilla Global de configuración para Visual Studio Code con foco en ciencia de datos, Python y desarrollo con Docker.

    PowerShell

  6. ClearNote_Py_DA ClearNote_Py_DA Public

    Plantilla base para proyectos de ciencia de datos en Python usando Dev Containers en VS Code. Entorno ligero, reproducible y aislado con soporte para scripts .py y notebooks interactivos.