Quick pocket size Revision Guide for Data Science field-Part1 (Paperback)
Ravindra Kumar Nayak
ISBN 13: 9798334583139
Editorial: Independently Published, 2024
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Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
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Descripción
Descripción:
Paperback. Part 1: Data Science Libraries and TechniquesPandas: Manages data with DataFrames and Series; supports loading, cleaning, manipulating, and exporting data.NumPy: Performs numerical operations and linear algebra with arrays.Scikit-learn: Facilitates machine learning with model building, preprocessing, and evaluation.Seaborn & Matplotlib: Visualize data; Seaborn for statistical plots, Matplotlib for basic and custom charts.Plotly & D3.js: Create interactive and advanced web-based visualizations. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de ref. del artículo 9798334583139
Sinopsis:
Part 1: Data Science Libraries and Techniques
Pandas: Manages data with DataFrames and Series; supports loading, cleaning, manipulating, and exporting data.
NumPy: Performs numerical operations and linear algebra with arrays.
Scikit-learn: Facilitates machine learning with model building, preprocessing, and evaluation.
Seaborn & Matplotlib: Visualize data; Seaborn for statistical plots, Matplotlib for basic and custom charts.
Plotly & D3.js: Create interactive and advanced web-based visualizations.
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Detalles bibliográficos
Título: Quick pocket size Revision Guide for Data ...
Editorial: Independently Published
Año de publicación: 2024
Encuadernación: Paperback
Condición: new
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Quick pocket size Revision Guide for Data Science field-Part1 (Paperback)
Impresión bajo demandaLibrería: CitiRetail, Stevenage, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: new. Paperback. Part 1: Data Science Libraries and TechniquesPandas: Manages data with DataFrames and Series; supports loading, cleaning, manipulating, and exporting data.NumPy: Performs numerical operations and linear algebra with arrays.Scikit-learn: Facilitates machine learning with model building, preprocessing, and evaluation.Seaborn & Matplotlib: Visualize data; Seaborn for statistical plots, Matplotlib for basic and custom charts.Plotly & D3.js: Create interactive and advanced web-based visualizations. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798334583139
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