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 […]