Course: Ensemble Techniques (Mar 2024) 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. Deliverables: Python Notebook Gituhub: EasyVisa – […]
Course: Supervised Learning – Classification (Feb 2024) 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 help in formulating profitable policies for cancellations and refunds. Deliverables: Python Notebook Gituhub: INN […]
Course: Supervised Learning – Foundations (Feb 2024) Analyze the used devices dataset, build a model which will help develop a dynamic pricing strategy for used and refurbished devices, and identify factors that significantly influence the price. Deliverables: Python Notebook Gituhub: ReCell – Supervised Learning – Regression
Course: Business Statistics (Jan 2024) This project used statistical analysis, a/b testing, and visualization to decide whether the new landing page of an online news portal (E-news Express) is effective enough to gather new subscribers or not. The simulated dataset has certain important metrics such as converted status and time spent on the page that […]
Course: Python – Foundations (Nov 2023) 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 the business. Suppose you are hired as a Data Scientist in this company and the Data […]