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1. nutrient_composition_of_common_foods_in_canada_analyzing_the_canadian_nutrient_file nutrient_composition_of_common_foods_in_canada_analyzing_the_canadian_nutrient_file Public

   Interactive tools for informed dietary choices using The Canadian Nutrient File. A Tableau dashboard explores nutrient composition, while an AI-powered app offers dynamic visualizations, clustering…

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2. data_driven_department_optimization data_driven_department_optimization Public

   Optimizes departmental operations using machine learning and deep learning. Predicts employee turnover (HR), segments customers (Marketing), forecasts sales (Sales), detects chest diseases (Operati…

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3. credit_card_default credit_card_default Public

   Builds a predictive model to forecast credit card defaults using demographic and financial data from 30,000 account holders. Involves EDA, visualization, machine learning (Scikit-learn, XGBoost), a…

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4. enhancing_banks_personal_loan_approaches enhancing_banks_personal_loan_approaches Public

   Develops a sequential neural network to predict customer likelihood of accepting personal loan offers, optimizing marketing and resource allocation. Achieves 98% accuracy, 96% precision, and 87% re…

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5. designing_an_intelligent_agent_for_the_wumpus_world designing_an_intelligent_agent_for_the_wumpus_world Public

   Implements an intelligent agent for the Wumpus World, using logical reasoning and perception to navigate hazards, deduce safe paths, and balance exploration with caution. Showcases AI concepts like…

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6. gdp_and_population_2024_olympic_medals gdp_and_population_2024_olympic_medals Public

   Explores how GDP, population, and socioeconomic factors influence 2024 Olympic medal counts through correlation, regression, and clustering analysis. 🚀

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