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1. ReneWind-Project ReneWind-Project Public

   Analyzed data of 40 sensors for 25000 generators and compared the performance of 7 different models. Selected an under sampled XGBoost model able to predict 89% of generator failures and 84% genera…

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2. EasyVisa-Project EasyVisa-Project Public

   To facilitate the process of visa approvals, built and tuned a decision tree, logistic regression, bagging, boosting, random forest, and stacking models. Selected gradient boosting to predict a vis…

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3. INNHotels-Project INNHotels-Project Public

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

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4. ReCell-Project ReCell-Project Public

   Analyzed the used devices dataset, built an 84% accurate Linear Regression model which will help develop a dynamic pricing strategy for used and refurbished devices, and identify factors that signi…

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5. Enews-Express-Project Enews-Express-Project Public

   This project used statistical analysis, a/b testing, and visualization to decide whether the new landing page of an online news portal is effective enough to gather new subscribers or not.

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6. FoodHub-Project FoodHub-Project Public

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

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