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1. Inferring-Mobility-from-Mobile-Phone-Data Inferring-Mobility-from-Mobile-Phone-Data Public

   This project analyzes mobile phone call detail records from Togo to uncover patterns in user behavior and movement. It calculates key usage statistics, maps cell towers distribution, and applies tw…

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2. Machine-Learning-Insights-into-Titanic-and-Wine-Data Machine-Learning-Insights-into-Titanic-and-Wine-Data Public

   This project applies machine learning techniques to two datasets: the Titanic dataset for survival prediction and wine datasets (red and white) for quality analysis. It explores decision trees, KNN…

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3. ML_INSIGHTS_INTO_DJIA_WINE_DATA ML_INSIGHTS_INTO_DJIA_WINE_DATA Public

   Exploring DJIA stock market patterns and predicting red wine quality using PCA, hierarchical clustering, and Random Forest algorithms.

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4. Titanic-Survival-Prediction Titanic-Survival-Prediction Public

   Predicting passenger survival on the Titanic using an ensemble machine learning approach, achieving a Kaggle score of 0.77990. This project leverages stacking with Random Forest, Gradient Boosting,…

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5. Predicting-Pneumonic-Plague-Dynamics-with-Google-Search-Trends Predicting-Pneumonic-Plague-Dynamics-with-Google-Search-Trends Public

   This project combines weekly epidemiological case counts of pneumonic plague in Madagascar (Aug–Nov 2017) with Google Trends data for related search terms to explore how online interest tracks—and …

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