Cargando…

Practical data analysis cookbook : over 60 practical recipes on data exploration and analysis /

Mostrar otras versiones (1)

Over 60 practical recipes on data exploration and analysis About This Book Clean dirty data, extract accurate information, and explore the relationships between variables Forecast the output of an electric plant and the water flow of American rivers using pandas, NumPy, Statsmodels, and scikit-learn...

Descripción completa

Detalles Bibliográficos
Clasificación:	Libro Electrónico
Autor principal:	Drabas, Tomasz (Autor)
Formato:	Electrónico eBook
Idioma:	Inglés
Publicado:	Birmingham, UK : Packt Publishing, [2016]
Colección:	Quick answers to common problems.
Temas:	Quantitative research > Computer programs. Recherche quantitative > Logiciels. COMPUTERS / Databases / Data Mining. COMPUTERS / Data Visualization.
Acceso en línea:	Texto completo (Requiere registro previo con correo institucional)

Ejemplares similares

Practical data analysis cookbook : over 60 practical recipes on data exploration and analysis /
por: Drabas, Tomasz
Publicado: (2016)

Data Analysis in the Cloud : Models, Techniques and Applications /
por: Talia, Domenico, et al.
Publicado: (2016)

Dealing with Data Pocket Primer
por: Campesato, Oswald
Publicado: (2022)

Dealing with Data Pocket Primer.
por: Campesato, Oswald
Publicado: (2022)

Become a Python data analyst : perform exploratory data analysis and gain insight into scientific computing using Python /
por: Fuentes, Alvaro
Publicado: (2018)

Become a Python data analyst : perform exploratory data analysis and gain insight into scientific computing using Python /
por: Fuentes, Alvaro
Publicado: (2018)

Big Data War : How to Survive Global Big Data Competition.
por: Patrick H. Park
Publicado: (2016)

Data analysis with Stata : explore the big data field and learn how to perform data analytics and predictive modeling in Stata /
por: Kothari, Prasad
Publicado: (2015)

Data Analysis and Applications 1 : New and Classical Approaches.
por: Skiadas, Christos
Publicado: (2019)

Data analysis and applications 3 : computational, classification, financial, statistical and stochastic methods /
Publicado: (2020)

Data science and big data analytics : discovering, analyzing, visualizing and presenting data /
Publicado: (2015)

Improving the user experience through practical data analytics : gain meaningful insight and increase your bottom line /
por: Fritz, Mike, et al.
Publicado: (2015)

Data science with Python : unleash the power of Python and its robust data science capabilities : a course in four modules /
por: Thakur, Ankita
Publicado: (2016)

Data science with Python : unleash the power of Python and its robust data science capabilities : a course in four modules /
por: Thakur, Ankita
Publicado: (2016)

Codeless time series analysis with KNIME : a practical guide to implementing forecasting models for time series analysis applications /
por: Weisinger, Corey, et al.
Publicado: (2022)

Advanced Splunk : master the art of getting the maximum out of your machine data using Splunk /
por: Yadav, Ashish Kumar Tulsiram
Publicado: (2016)

Making predictions with data and Python /
Publicado: (2017)

Become a Python data analyst /
Publicado: (2017)

Big data analytics with Excel : import, link, clean, manipulate, and analyze large sets of data /
Publicado: (2016)

R : predictive analysis : master the art of predictive modeling /
por: Fischetti, Tony, et al.
Publicado: (2017)

Data science and big data analytics : discovering, analyzing, visualizing and presenting data /
Publicado: (2015)

This is service design methods : a companion to this is Service design doing /
por: Stickdorn, Marc
Publicado: (2018)

Managing the data lake : moving to big data analysis /
por: Oram, Andrew
Publicado: (2015)

Mastering pandas : a complete guide to pandas, from installation to advanced data analysis techniques /
por: Kumar, Ashish (Data scientist)
Publicado: (2019)

Big data for insurance companies /
Publicado: (2018)

Applied data analytics : principles and applications /
por: Agbinya, Johnson I.
Publicado: (2020)

Applied data analytics : principles and applications /
por: Agbinya, Johnson I.
Publicado: (2020)

Applied data analytics : principles and applications /
por: Agbinya, Johnson I.
Publicado: (2020)

Data Analysis and Applications 1 /
por: Skiadas, Christos, et al.
Publicado: (2019)

Reporting, predictive analytics, and everything in between : a guide to selecting the right analytics for you /
por: Stupakevich, Brett, et al.
Publicado: (2019)

Foundations of data intensive applications : large scale data analytics under the hood /
por: Kamburugamuve Loku Acharilage, Supun Madhushanka Kamburugamuva, et al.
Publicado: (2021)

Data Analysis in the Cloud : Models, Techniques and Applications /
por: Talia, Domenico, et al.
Publicado: (2016)

SQL Server 2019 Big Data Clusters crash course : installing and using a Big Data Cluster for data analysis /
Publicado: (2020)

Improving the user experience through practical data analytics : gain meaningful insight and increase your bottom line /
por: Fritz, Mike, et al.
Publicado: (2015)

Introduction to data analytics with KNIME : a data science approach to analytics /
Publicado: (2016)

Understanding Azure Data Factory : operationalizing big data and advanced analytics solutions /
por: Rawat, Sudhir, et al.
Publicado: (2019)

Search-driven business analytics : designing a new search engine for data /
por: Oram, Andrew
Publicado: (2015)

Market data analysis using JMP /
por: Paczkowski, Walter R.
Publicado: (2016)

Basic statistics and data mining for data science.
Publicado: (2017)

Mastering pandas : master the features and capabilities of pandas, a data analysis toolkit for Python /
por: Anthony, Femi
Publicado: (2015)

Cannot write session to /tmp/vufind_sessions/sess_dlg392psk501fhio3vi314gpa7