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  1. FoodHub-Order-Analysis-using-Python FoodHub-Order-Analysis-using-Python Public

    A food aggregator company has stored data of different orders made by registered customers in their online portal. They want to analyze data to draw some actionable insights for business. Perform d…

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  2. E-news-Express-Project-Business-Statistics- E-news-Express-Project-Business-Statistics- Public

    An online news portal (E-news Express) wanted to analyze whether their new landing page is effective enough to gather new subscribers or not. Analysis used metrics such as converted status, time sp…

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  3. ReCell-Supervised-Learning- ReCell-Supervised-Learning- Public

    Analyze used devices dataset, build a model to develop a dynamic pricing strategy for used/refurbished devices, identify factors that significantly influence price.

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  4. INNHOTELS-supervisedlearningclassifications- INNHOTELS-supervisedlearningclassifications- Public

    Analyze INN Hotels data to find which factors have a high influence on booking cancellations, build a predictive model to predict which booking is going to be canceled in advance, and help in formu…

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  5. EasyVisa-US-visa-applicant-profiling-using-ML EasyVisa-US-visa-applicant-profiling-using-ML Public

    Analyze data of US work Visa applicants, build a predictive model to facilitate approvals, and based on factors that significantly influence visa status, recommend profiles for whom visa should be …

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  6. RENEWIND-predictive-maintenance-cost-maintenance-usingML RENEWIND-predictive-maintenance-cost-maintenance-usingML Public

    The aim is to decrease maintenance cost of generators used in wind energy production machinery. This is achieved by building various classification models, accounting for class imbalance, tuning on…

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