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Analyze the data of Visa applicants, build a predictive model to facilitate the process of visa approvals, and based on important factors that significantly influence the Visa status recommend a suitable profile for the applicants for whom the visa should be certified or denied.
"This repository contains implementations of Boosting method, popular techniques in Model Ensembles, aimed at improving predictive performance by combining multiple models. by using titanic database."
The Personalized Offer Marketing Strategy project develops a marketing strategy for a restaurant that offers personalized discounts/offers. It uses a survey to understand user behavior and machine learning algorithms to develop a personalized marketing strategy. The outcomes will increase revenue and customer satisfaction.
What is the relationship between airline sentiments and airlines? What is the reason for the negativity mentioned in the dataset? What is the relation of time with sentiments? Which model is best for sentiment analysis when we do ensemble learning?