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Toutl / repository
A set of Jupyter notebooks developed during the Data Modeling Lab course.
This repository compiles the Jupyter notebooks developed during the Data Modeling Lab course.
The contents are organized into three main folders: pre-modeling, regression, and classification.
The purpose of this portfolio is to compile the exercises completed throughout the course, showcasing the complete data modeling workflow: from exploratory analysis and dimensionality reduction to the implementation of classical models and neural networks for both regression and classification.
Selected from shared topics, language and repository description—not editorial ratings.
GUDHI /
A set of jupyter notebooks for the practice of TDA with the python Gudhi library together with popular machine learning and data sciences libraries.
AngelRuizMoreno /
Jupyter Dock is a set of Jupyter Notebooks for performing molecular docking protocols interactively, as well as visualizing, converting file formats and analyzing the results.
aws-deepracer-community /
A set of Jupyter notebooks to analyze the performance of a DeepRacer model.
Tessellate-Imaging /
A set of jupyter notebooks on pytorch functions with examples
galenmarchetti /
A Kurtosis package for Python data engineers, deploying a Jupyter notebook along with a configurable set of databases, and a visualization tool (Streamlit)
pluxbiosignals /
biosignalsnotebooks project includes a set of Jupyter Notebooks explaining some processing tasks which have been specially designed for biosignalsplux and OpenSignals users. A Python package is also present, containing some functions to support biosignalsnotebooks notebooks or to be used independently.