|
![]() |
|||
|
||||
OverviewAlex, a data scientist, starts their day with coffee and emails before diving into a project to update a customer churn prediction model. They clean and analyze data using Pandas and Matplotlib, then train a CatBoost model. After validating the model, Alex deploys it via a Flask API and containerizes it with Docker for consistent performance. They participate in team meetings, review feedback, and explore Streamlit for interactive dashboards. By day's end, Alex has advanced their projects and planned to continue learning about Streamlit and Deep Learning, blending coding, collaboration, and ongoing development. Full Product DetailsAuthor: Ravindra Kumar NayakPublisher: Independently Published Imprint: Independently Published Dimensions: Width: 21.60cm , Height: 1.00cm , Length: 27.90cm Weight: 0.445kg ISBN: 9798338800584Pages: 186 Publication Date: 09 September 2024 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |