The project provides a visualization of atmospheric emissions data. I gather the data from open sources like the UN (data.un) and partially from Wikipedia.
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May 11, 2025 - Vue
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data-un
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This project analyzes and predicts taxi fares estimate fares in advance using Regression Analysis. Conducted EDA, hypothesis testing, to identify key variables. Developed ML models (Random Forest, XGBoost) with GridSearchCV for hyperparameter tuning to predict generous tip giver accurately.
random-forest sklearn exploratory-data-analysis data-visualization xgboost ab-testing fea regression-analysis data-un
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Oct 1, 2025 - Jupyter Notebook
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