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EU-27-trade-network-analysis Public
This project aim to examine the flow of trade goods within the union to identify patterns and trends in intra- EU trade dynamics using network data and complex network analysis.
Jupyter Notebook UpdatedJun 11, 2024 -
Simulation_paper---Effect_of_missing_data_on_K-means_performance---MATH60603A_STATISTICAL_LEARNING Public
K-means clustering is a popular method for categorizing data into clusters based on similarity. Its efficacy can be influenced by various factors, one of which could be missing data. Understanding …
UpdatedJun 11, 2024 -
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This repository contains the code and reports for the statistical analysis of BIXI Montreal's bike-sharing system data. The analysis focuses on understanding the factors that influence trip duratio…
UpdatedDec 28, 2023 -
Executive_report-Profile_clustering_for_a_fundraising_association-MATH60603A_STATISTICAL_LEARNING Public
This repository contains the research and analysis exploring the impact of online engagement on charitable donations of a fake association, focusing on how digital interactions through emails and s…
UpdatedDec 28, 2023 -
This project aims to enhance the interpretability of Principal Component Analysis (PCA) by integrating explainability tools and advanced dimensionality reduction techniques such as UMAP or t-SNE.
Jupyter Notebook UpdatedDec 26, 2023