Fernando-JAL/Neurociencias-2025-2
May 2025 – May 2025
1 Month active
Languages Used
Jupyter NotebookMarkdownPython
Technical Skills
Data AnalysisData PreprocessingData VisualizationDecision TreesDeep LearningExploratory Data Analysis (EDA)
Clau-CV
PROFILE
Clau-cv
During May 2025, Fernando developed a suite of educational machine learning notebooks for the Neurociencias-2025-2 repository, focusing on supervised learning, regression metrics, and medical image analysis. He implemented end-to-end workflows in Python and Jupyter Notebooks, emphasizing reproducibility and clear visualization using libraries such as Pandas and Matplotlib. His work included a Decision Tree Classifier on the Iris dataset, detailed regression metric documentation, and an initial brain tumor image analysis pipeline comparing convolutional neural networks with Random Forest models. The notebooks featured thorough documentation and consistent structure, providing a solid foundation for future enhancements and facilitating onboarding for new learners.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
3
Lines of code
4,467
Activity Months1
Your Network
20 people
Work History
May 2025
6 Commits • 3 Features
May 1, 2025May 2025 performance summary for Fernando-JAL/Neurociencias-2025-2: Delivered a compact suite of educational ML notebooks spanning supervised learning concepts, regression metrics, and medical image analysis. Focused on end-to-end pipelines, visualization, and reproducibility to accelerate learning, validation, and stakeholder understanding. No major bug fixes were recorded this month; the work lays the groundwork for broader adoption, future enhancements, and potential deployment-ready modules.
6 Commits • 3 Features
May 1, 2025May 2025 performance summary for Fernando-JAL/Neurociencias-2025-2: Delivered a compact suite of educational ML notebooks spanning supervised learning concepts, regression metrics, and medical image analysis. Focused on end-to-end pipelines, visualization, and reproducibility to accelerate learning, validation, and stakeholder understanding. No major bug fixes were recorded this month; the work lays the groundwork for broader adoption, future enhancements, and potential deployment-ready modules.
May 2025
Activity
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Quality Metrics
Correctness85.0%
Maintainability86.6%
Architecture83.4%
Performance83.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookMarkdownPython
Technical Skills
Data AnalysisData PreprocessingData VisualizationDecision TreesDeep LearningExploratory Data Analysis (EDA)Image ClassificationImage ProcessingJupyter NotebookJupyter NotebooksKerasMachine LearningMatplotlibModel EvaluationNumPy
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