Mustafa A.

جامعة السودان للعلوم والتكنولوجيا

Google

Waze leadership want to build a machine learning model to predict user churn. The model is based on data collected from users of the Waze app

New York City TLC is an agency responsible for licensing and regulating New York City's taxi cabs and for-hire vehicles. The agency want to develop a regression model that helps estimate taxi fares before the ride, based on data that TLC has gathered.

In this case study, our primary objective is to harness the power of Python for model building and data analysis to address a critical business challenge faced by Salifort Motors. We will deploy various models to analyze a dataset and generate valuable business insights for our stakeholders. The primary focus of our analysis is to predict employee turnover and understand the underlying factors contributing to it. Our analysis will serve as a foundation for developing strategies that can enhance employee retention, job satisfaction, and ultimately reduce the financial burden associated with high employee turnover.

TikTok is working on the development of a predictive model that can determine whether a video contains a claim or offers an opinion. With a successful prediction model, TikTok can reduce the backlog of user reports and prioritize them more efficiently.