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9798338800584: A Day in the Life of a Data Scientist and AI Researcher

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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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NAYAK, RAVINDRA KUMAR
Edité par Independently published, 2024
ISBN 13 : 9798338800584
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Ravindra Kumar Nayak
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Paperback. Etat : 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. N° de réf. du vendeur 9798338800584

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Ravindra Kumar Nayak
Edité par Independently Published, 2024
ISBN 13 : 9798338800584
Neuf Paperback

Vendeur : Grand Eagle Retail, Mason, OH, Etats-Unis

Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

Paperback. Etat : 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. N° de réf. du vendeur 9798338800584

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