CUAI-CAU/2025_Basic_Track_Assignment
Mar 2025 – Apr 2025
2 Months active
Languages Used
Jupyter NotebookPython
Technical Skills
Array OperationsData AnalysisData ManipulationData VisualizationFile ManagementGradient Descent
bekseungbum
PROFILE
Bekseungbum
Seungbum Lee developed a series of educational data science notebooks for the CUAI-CAU/2025_Basic_Track_Assignment repository, focusing on foundational and intermediate machine learning workflows. Over two months, he delivered resources such as the NumPy Basics Notebook Series and a comprehensive Regression Analysis Notebook, applying Python, NumPy, and scikit-learn to real datasets like Titanic and Boston housing. His work emphasized reproducibility and maintainability by standardizing file structures and integrating evaluation scripts. Through detailed implementations of regression techniques, data preprocessing, and model evaluation, Seungbum enabled scalable experimentation and improved onboarding, demonstrating depth in data analysis, scientific computing, and collaborative workflow design.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
10Total
Bugs
0
Commits
10
Features
3
Lines of code
19,903
Activity Months2
Your Network
1020 people
Work History
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 Monthly Summary for CUAI-CAU/2025_Basic_Track_Assignment. Delivered a Regression Analysis Notebook implementing Ridge, Lasso, and ElasticNet on the Boston housing dataset, covering data loading, preprocessing, model training, hyperparameter tuning, and RMSE-based evaluation. The workflow demonstrates scaling techniques and their impact on model performance, enabling faster experimentation and better model selection. The notebook and evaluation scripts are integrated into the repository to support reproducibility and collaboration.
1 Commits • 1 Features
Apr 1, 2025April 2025 Monthly Summary for CUAI-CAU/2025_Basic_Track_Assignment. Delivered a Regression Analysis Notebook implementing Ridge, Lasso, and ElasticNet on the Boston housing dataset, covering data loading, preprocessing, model training, hyperparameter tuning, and RMSE-based evaluation. The workflow demonstrates scaling techniques and their impact on model performance, enabling faster experimentation and better model selection. The notebook and evaluation scripts are integrated into the repository to support reproducibility and collaboration.
April 2025
March 2025
9 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for CUAI-CAU/2025_Basic_Track_Assignment. Key features delivered include the NumPy Basics Notebook Series and Data Science Learning Notebooks (Titanic Analytics and Regression Techniques). Minor maintenance addressed by cleaning up outdated notebooks and standardizing file names to improve discoverability and onboarding. Overall impact: enhanced learning resources, reproducibility, and maintainability, enabling scalable content delivery; technologies demonstrated include Python, NumPy fundamentals, data analysis concepts, Jupyter notebooks, and Git-based project hygiene.
March 2025
9 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for CUAI-CAU/2025_Basic_Track_Assignment. Key features delivered include the NumPy Basics Notebook Series and Data Science Learning Notebooks (Titanic Analytics and Regression Techniques). Minor maintenance addressed by cleaning up outdated notebooks and standardizing file names to improve discoverability and onboarding. Overall impact: enhanced learning resources, reproducibility, and maintainability, enabling scalable content delivery; technologies demonstrated include Python, NumPy fundamentals, data analysis concepts, Jupyter notebooks, and Git-based project hygiene.
Activity
Loading activity data...
Quality Metrics
Correctness92.0%
Maintainability92.0%
Architecture92.0%
Performance92.0%
AI Usage24.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
Array OperationsData AnalysisData ManipulationData VisualizationFile ManagementGradient DescentJupyter NotebookLinear AlgebraMachine LearningMatplotlibNumPyPandasPolynomial RegressionRegressionRegression Analysis
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline