Cargando…

Data science with Python : unleash the power of Python and its robust data science capabilities : a course in four modules /

Mostrar otras versiones (1)

Detalles Bibliográficos
Clasificación:	Libro Electrónico
Autor principal:	Thakur, Ankita (Autor)
Formato:	Electrónico eBook
Idioma:	Inglés
Publicado:	Birmingham : Packt, 2016.
Temas:	Data mining. Quantitative research. Python (Computer program language) Data Mining Exploration de données (Informatique) Recherche quantitative. Python (Langage de programmation) COMPUTERS / General
Acceso en línea:	Texto completo (Requiere registro previo con correo institucional)

Ejemplares similares

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)

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

Become a Python data analyst /
Publicado: (2017)

Practical data science using Python.
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)

Python : end-to-end data analysis : leverage the power of Python to clean, scrape, analyze, and visualize your data : a course in three modules.
por: Vo. T. H, Phuong
Publicado: (2017)

Mastering pandas : a complete guide to pandas, from installation to advanced data analysis techniques, 2nd Edition. /
por: Ashish Kumar, Kumar
Publicado: (2019)

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

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

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

Python for data analysis : data wrangling with Pandas, NumPy, and Jupyter /
por: McKinney, Wes
Publicado: (2022)

Python data science handbook : essential tools for working with data /
por: Vanderplas, Jacob T.
Publicado: (2016)

Python companion to data science : collect - organize - explore - predict - value /
por: Zinoviev, Dmitry
Publicado: (2016)

Getting started with Python data analysis : learn to use powerful Python libraries for effective data processing and analysis /
por: Vo. T. H, Phuong, et al.
Publicado: (2015)

Learning data mining with Python : use Python to manipulate data and build predictive models /
por: Layton, Robert
Publicado: (2017)

Data cleansing master class in Python /
Publicado: (2021)

Building data pipelines with Python : understanding pipeline frameworks, workflow automation, and Python toolsets /
Publicado: (2016)

Applied Data Science Workshop - Second Edition
por: Galea, Alex
Publicado: (2020)

Web scraping tutorial with Scrapy and Python for beginners.
Publicado: (2022)

Data analysis crash course for beginners : Pandas + Python /
Publicado: (2021)

Unsupervised learning for exploration and classification of health data : advanced analysis using Python and R /
Publicado: (2017)

Reactive Python for data science : push-based data analysis with RxPy /
Publicado: (2016)

Data wrangling and analysis with Python /
Publicado: (2016)

Python Data Mining Quick Start Guide : a Beginner's Guide to Extracting Valuable Insights from Your Data.
por: Greeneltch, Nathan
Publicado: (2019)

A whirlwind tour of Python /
por: Vanderplas, Jacob T.
Publicado: (2016)

Getting started with Python web scraping /
por: Clayton, Charles
Publicado: (2017)

Data wrangling with Python : tips and tools to make your life easier /
por: Kazil, Jacqueline, et al.
Publicado: (2016)

Data exploration in Python /
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)

How to use your data science team : becoming a data-driven organization /
Publicado: (2016)

Data Science mit Python : das Handbuch für den Einsatz von IPython, Jupyter, NumPy, Pandas, Matplotlib, Scikit-Learn /
por: Vanderplas, Jacob T.
Publicado: (2018)

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

Python for data science : a hands-on introduction /
por: Vasiliev, Yuli
Publicado: (2022)

Python 3 für Studium und Ausbildung : Einfach lernen und professionell anwenden /
por: Weigend, Michael
Publicado: (2022)

Python for data analysis : data wrangling with Pandas, NumPy, and IPython /
por: McKinney, Wes
Publicado: (2017)

Analyzing data in the Internet of Things : a collection of talks from Strata + Hadoop World 2015 /
por: LaPlante, Alice, 1958-
Publicado: (2016)

Data science bookcamp : five real-world Python projects /
por: Apeltsin, Leonard
Publicado: (2021)

Advanced statistics and data mining for data science /
Publicado: (2018)

Introduction to machine learning with Python : a guide for data scientists /
por: Müller, Andreas C., et al.
Publicado: (2017)