Chen daniel y daniel y chen (40 resultados)

Condición: Good. : Este libro es una introducción práctica y completa al análisis de datos con Python utilizando la biblioteca Pandas. Daniel Y. Chen presenta los conceptos clave a través de ejemplos sencillos pero prácticos, construyendo sobre ellos para resolver problemas del mundo real. Aprenderás a limpiar, estructurar y visualizar datos, así como a construir modelos para predicción, clustering e inferencia. También se ofrecen consejos sobre rendimiento y escalabilidad, y se introduce el ecosistema más amplio de análisis de datos de Python. EAN: 9780134546933 Tipo: Libros Categoría: Tecnología|Ciencias Título: Pandas for Everyone: Python Data Analysis Autor: Daniel Y. Chen Editorial: Addison-Wesley Professional Idioma: en Páginas: 416 Formato: tapa blanda. …

paperback. Condición: As New. No highlighting. Very minimal wear.

paperback. Condición: Good. 2nd Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).

Soft cover. Condición: New. ISBN:9789361592225,Territorial restriction maybe printed on the book. This is an Int'l edition, ISBN and cover may differ from US edition, Contents same as US edition.

Condición: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.…

Condición: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.…

Condición: New. Brand New, Softcover edition. This item may ship from the US or our Overseas warehouse depending on your location and stock availability.

Condición: As New. Unread book in perfect condition.

Condición: New.

Paperback. Condición: new. Paperback. Today, analysts must manage data characterised by extraordinary variety, velocity, and volume. Using the open source Pandas library, you can use Python to rapidly automate and perform virtually any data analysis task, no matter how large or complex. Pandas can help you ensure the veracity of your data, visualise it for effective decision-making, and reliably reproduce analyses across multiple datasets. Pandas for Everyone brings together practical knowledge and insight for solving real problems with Pandas, even if youre new to Python data analysis. Daniel Y. Chen introduces key concepts through simple but practical examples, incrementally building on them to solve more difficult, real-world problems. Chen gives you a jumpstart on using Pandas with a realistic dataset and covers combining datasets, handling missing data, and structuring datasets for easier analysis and visualisation. He demonstrates powerful data cleaning techniques, from basic string manipulation to applying functions simultaneously across dataframes. Once your data is ready, Chen guides you through fitting models for prediction, clustering, inference, and exploration. He provides tips on performance and scalability, and introduces you to the wider Python data analysis ecosystem. Work with DataFrames and Series, and import or export data Create plots with matplotlib, seaborn, and pandas Combine datasets and handle missing data Reshape, tidy, and clean datasets so theyre easier to work with Convert data types and manipulate text strings Apply functions to scale data manipulations Aggregate, transform, and filter large datasets with groupby Leverage Pandas advanced date and time capabilities Fit linear models using statsmodels and scikit-learn libraries Use generalised linear modeling to fit models with different response variables Compare multiple models to select the best Regularise to overcome overfitting and improve performance Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: New.

Paperback. Condición: New Books. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability. …

paperback. Condición: New.

Condición: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Condición: New.

Condición: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.

Condición: New. 2nd edition NO-PA16APR2015-KAP.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: As New. Unread book in perfect condition.

paperback. Condición: Fair.

Paperback. Condición: Brand New. 400 pages. 9.25x7.00x1.00 inches. In Stock.

Condición: New.

Paperback / softback. Condición: New. New copy - Usually dispatched within 4 working days.

Paperback. Condición: Brand New. 2nd edition. 512 pages. 9.02x6.97x1.34 inches. In Stock.

Condición: New. pp. 512.

Condición: New. This tutorial teaches students everything they need to get started with Python programming for the fast-growing field of data analysis. Daniel Chen tightly links each new concept with easy-to-apply, relevant examples from modern data analysis.