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Paperback. Etat : Very Good. The Hands-On, Example-Rich Introduction to Pandas Data Analysis in Python   Today, analysts must manage data characterized 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, visualize 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 you?re 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 visualization. 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 dataCreate plots with matplotlib, seaborn, and pandasCombine datasets and handle missing dataReshape, tidy, and clean datasets so they?re easier to work withConvert data types and manipulate text stringsApply functions to scale data manipulationsAggregate, transform, and filter large datasets with groupbyLeverage Pandas? advanced date and time capabilitiesFit linear models using statsmodels and scikit-learn librariesUse generalized linear modeling to fit models with different response variablesCompare multiple models to select the ?best?Regularize to overcome overfitting and improve performanceUse clustering in unsupervised machine learning.…

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Hardback. Etat : Good. For graduate-level courses in Marketing Research, Research Design and Data Analysis. Multivariate Data Analysis provides an applications-oriented introduction to multivariate data analysis for the nonstatistician by focusing on the fundamental concepts that affect the use of specific techniques.…

Hardback. Etat : Very Good. For graduate-level courses in Marketing Research, Research Design and Data Analysis. Multivariate Data Analysis provides an applications-oriented introduction to multivariate data analysis for the nonstatistician by focusing on the fundamental concepts that affect the use of specific techniques.…

Hardcover. Etat : Very Good. 2. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Paperback. Etat : Very Good. This practical book presents a data scientists approach to building language-aware products with applied machine learning.

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Paperback. Etat : Fair. 1. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.

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Hardback. Etat : Very Good. The second edition refines and enhances the approach to algorithms and datastructures. Highlights theoretical topics like abstract data types and the efficiency of algorithms as well as performance and running time. Includes a new chapter on advanced data structures and material on the Standard Template Library conforming to the new standard.…

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Hardback. Etat : Good. The second edition refines and enhances the approach to algorithms and datastructures. Highlights theoretical topics like abstract data types and the efficiency of algorithms as well as performance and running time. Includes a new chapter on advanced data structures and material on the Standard Template Library conforming to the new standard.…

Hardback. Etat : Fair. The second edition refines and enhances the approach to algorithms and datastructures. Highlights theoretical topics like abstract data types and the efficiency of algorithms as well as performance and running time. Includes a new chapter on advanced data structures and material on the Standard Template Library conforming to the new standard.…

Paperback. Etat : Good. Updating the previous edition's tips to include features in Excel 2013, this new edition of Mr. Excel's popular software guide even incorporates suggestions sent in by readers. Each featured topic has a problem statement and description, followed by a broad strategy for solving the problem. Mr. Excel then walks readers through the specific steps to solve the issue. Alternate strategies are also provided, along with common scenarios that trip users up, leaving readers with not only answers to their specific dilemmas but also new and quicker ways to use formulas and spreadsheets.…

Paperback. Etat : Very Good. Provides a defendable analysis of residual risk associated with your key assets so that risk treatment options can be explored. This title gives you the tools and skills to get a thorough risk assessment for key stakeholders. It focuses on implementing a process, rather than theory, that allows you to derive a quick and valuable assessment.…

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Etat : very_good. Book is in very good condition and may include minimal underlining highlighting. The book can also include "From the library of" labels. May not contain miscellaneous items toys, dvds, etc. . We offer 100% money back guarantee and 24 7 customer service. Tusa, Tricia (illustrateur).

Etat : good. Book is in good condition and may include underlining highlighting and minimal wear. The book can also include "From the library of" labels. May not contain miscellaneous items toys, dvds, etc. . We offer 100% money back guarantee and 24 7 customer service.