У нас вы можете посмотреть бесплатно Linear Regression - Bike Sharing Dataset или скачать в максимальном доступном качестве, видео которое было загружено на ютуб. Для загрузки выберите вариант из формы ниже:
Если кнопки скачивания не
загрузились
НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если возникают проблемы со скачиванием видео, пожалуйста напишите в поддержку по адресу внизу
страницы.
Спасибо за использование сервиса ClipSaver.ru
Hi connections. This video is about Linear Regression Modelling using Bike Sharing dataset. Environment: Jupyter Notebook Technologies used: Python - Numpy, Pandas, Matplotlib, Seaborn, SKLEarn, Statsmodels PROBLEM STATEMENT UNDERSTANDING The given situation pertains to a business problem being faced by BoomBikes. The company has witnessed considerable dip in revenues during Covid induced lockdowns and suffered heavy losses and is struggling to survive. The company wants to create a robust business plan and has roped in a consulting company to help it understand the demand patterns of bike sharing ones the lockdown opens. Specifically, they wish to understand the factors on which the demand of these bikes depends. In a nutshell, deliverables by the consulting firm are: Which variables are significant in predicting the demand for shared bikes. How well those variables describe the bike demands