Alex, 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.
"Sinopsis" puede pertenecer a otra edición de este libro.
EUR 6,89 gastos de envío desde Estados Unidos de America a España
Destinos, gastos y plazos de envíoLibrería: California Books, Miami, FL, Estados Unidos de America
Condición: New. Print on Demand. Nº de ref. del artículo: I-9798338800584
Cantidad disponible: Más de 20 disponibles
Librería: CitiRetail, Stevenage, Reino Unido
Paperback. Condición: new. Paperback. Alex, 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798338800584
Cantidad disponible: 1 disponibles
Librería: Grand Eagle Retail, Mason, OH, Estados Unidos de America
Paperback. Condición: new. Paperback. Alex, 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9798338800584
Cantidad disponible: 1 disponibles