Items related to A Day in the Life of a Data Scientist and AI Researcher
Synopsis
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.
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A Day in the Life of a Data Scientist and AI Researcher
Print on DemandSeller: California Books, Miami, FL, U.S.A.
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A Day in the Life of a Data Scientist and AI Researcher (Paperback)
Seller: Grand Eagle Retail, Mason, OH, U.S.A.
Seller rating 5 out of 5 stars
Paperback. Condition: 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. Seller Inventory # 9798338800584
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A Day in the Life of a Data Scientist and AI Researcher (Paperback)
Seller: CitiRetail, Stevenage, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: 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. Seller Inventory # 9798338800584
Quantity: 1 available