У нас вы можете посмотреть бесплатно Streamline Data Science Workflows with the Colab Enterprise Agent GSP1375 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
Overview In this lab, you act as a Data Scientist at Cymbal Media. Your goal is to build a neural network model to predict sales based on advertising spend across TV, Radio, Digital, and Social Media. Instead of writing code from scratch, you will use the Data Science Agent in Colab Enterprise. This AI-powered assistant helps you write, explain, and troubleshoot code directly within your notebook, accelerating your data science workflows while keeping you in the driver's seat. You will leverage the agent to generate plans, clean data, engineer features, and train models using natural language prompts. Objectives In this lab, you learn how to use the Data Science Agent to perform the following tasks: Load a dataset into a Pandas Dataframe. Perform exploratory data analysis (EDA) and feature engineering. Build, train, and evaluate a linear regression model to predict sales using the Keras deep learning library. Evaluate model performance using root mean squared error (RMSE). Compare alternative regression models. Generate and summarize key insights. #gcp #googlecloud #qwiklabs #learntoearn