HUFS-DAT/2024-2_Seminar
Nov 2024 – Nov 2024
1 Month active
Languages Used
Jupyter NotebookPython
Technical Skills
ClusteringDBSCANData VisualizationDimensionality ReductionK-MeansMachine Learning
seosumin0123
PROFILE
Seosumin0123
Developed an end-to-end analytics workflow for the HUFS-DAT/2024-2_Seminar repository, focusing on Fashion-MNIST data exploration and clustering. The work integrated dimensionality reduction techniques such as PCA and t-SNE with clustering algorithms including DBSCAN and K-Means, all implemented in Python using Scikit-learn and Pandas. An elbow method was added to improve cluster selection, supporting more robust model evaluation. The solution enabled rapid visualization and insight generation, streamlining the process of exploratory data analysis. All changes were delivered as a single feature within one month, with a clear, traceable commit history to support reproducibility and future development.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
2,147
Activity Months1
Your Network
1137 peopleWork History
November 2024
1 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for HUFS-DAT/2024-2_Seminar focused on delivering an end-to-end Fashion-MNIST analytics workflow. Key feature delivery and technical achievements were completed within the month, enabling rapid data exploration and model-informed decision making.
1 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for HUFS-DAT/2024-2_Seminar focused on delivering an end-to-end Fashion-MNIST analytics workflow. Key feature delivery and technical achievements were completed within the month, enabling rapid data exploration and model-informed decision making.
November 2024
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
ClusteringDBSCANData VisualizationDimensionality ReductionK-MeansMachine LearningMatplotlibPCAPandasPythonScikit-learnt-SNE
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