The Applied Data Science Workshop : Get started with the applications of data science and techniques to explore and assess data effectively

The Applied Data Science Workshop : Get started with the applications of data science and techniques to explore and assess data effectively

Enregistré dans:

Détails bibliographiques
Auteur principal:	Galea, Alex. (Auteur)
Support:	E-Book
Langue:	Anglais
Publié:	Birmingham : Packt Publishing, 2020.
Autres localisations:	Voir dans le Sudoc
Accès en ligne:	Accès à l'E-book

Documents similaires

Applied data science with Python and Jupyter : use powerful industry-standard tools to unlock new, actionable insights from your data
par: Galea, Alex.
Publié: (2018)

The Data Science Workshop : A New, Interactive Approach to Learning Data Science
par: So, Anthony.
Publié: (2020)

The Data Science Workshop : Learn how you can build machine learning models and create your own real-world data science projects
par: So, Anthony.
Publié: (2020)

Data Science Applied to Sustainability Analysis
par: Dunn, Jennifer.
Publié: (2021)

Beginning data science with Python and Jupyter : use powerful industry-standard tools within Jupyter and the Python ecosystem to unlock new, actionable insights from your data
par: Galea, Alex.
Publié: (2018)

The Data Analysis Workshop : Solve business problems with state-of-the-art data analysis models, developing expert data analysis skills along the way
par: Govindan, Gururajan.
Publié: (2020)

Applied Geospatial Data Science with Python : Leverage geospatial data analysis and modeling to find unique solutions to environmental problems
par: Jordan, David S..

The Data Wrangling Workshop : Create your own actionable insights using data from multiple raw sources
par: Lipp, Brian.
Publié: (2020)

The Data Visualization Workshop : A self-paced, practical approach to transforming your complex data into compelling, captivating graphics
par: Dobler, Mario.
Publié: (2020)

The Applied Artificial Intelligence Workshop : Start working with AI today, to build games, design decision trees, and train your own machine learning models
par: So, Anthony.
Publié: (2020)

The Unsupervised Learning Workshop : Get started with unsupervised learning algorithms and simplify your unorganized data to help make future predictions
par: Jones, Aaron.
Publié: (2020)

The Applied AI and Natural Language Processing Workshop : Explore practical ways to transform your simple projects into powerful intelligent applications
par: Sankar, Krishna.
Publié: (2020)

Applied smoothing techniques for data analysis : the kernel approach with S-Plus illustrations
par: Bowman, Adrian W., 19..-
Publié: (1997)

Applied functional data analysis : methods and case studies
par: Ramsay, James O.
Publié: (2002)

Applied deep learning with Python : use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions
par: Galea, Alex.
Publié: (2018)

Ethical Hacking Workshop : Explore a practical approach to learning and applying ethical hacking techniques for effective cybersecurity
par: Pillay, Rishalin.

Applied data visualization with R and ggplot2
par: Moulik, Dr. Tania.
Publié: (2018)

Julia for data science : explore the world of data science from scratch with Julia by your side
par: Joshi, Anshul.
Publié: (2016)

Managing Data Science : Eﬀective strategies to manage data science projects and build a sustainable team
par: Dubovikov, Kirill.
Publié: (2019)

The Tableau Workshop : A practical guide to the art of data visualization with Tableau
par: Gupta, Sumit.
Publié: (2022)

Getting started with Python data analysis : learn to use powerful Python libraries for effective data processing and analysis
par: Vo.t.h, Phuong.
Publié: (2015)

Applied statistical modeling and data analytics : a practical guide for the petroleum geosciences
par: Mishra, Srikanta.
Publié: (2017)

Cleaning data for effective data science : doing the other 80% of the work with Python, R, and command-line tools
par: Mertz, David (informaticien).
Publié: (2021)

Data science with SQL server quick start guide : integrate SQL Server with data science
par: Sarka, Dejan.
Publié: (2018)

The React Workshop : Get started with building web applications using practical tips and examples from React use cases
par: Richey, Brandon.
Publié: (2020)

Geospatial Data Science Quick Start Guide : Effective techniques for performing smarter geospatial analysis using location intelligence
par: Hassan, Abdishakur.
Publié: (2019)

R for data science
par: Dan, Toomey (19XX-...).
Publié: (2014)

Principles of data science
par: Ozdemir, Sinan.
Publié: (2016)

Data Science for Dummies
par: Pierson, Lillian.

Responsible Data Science
par: Fleming, Grant.

Python for data science
par: Mueller, John Paul (1958-....).
Publié: (2019)

Java for data science
par: Reese, Richard M..
Publié: (2017)

Scala for data science
par: Bugnion, Pascal.
Publié: (2016)

Spark for Data Science
par: Duvvuri, Srinivas.
Publié: (2016)

Clojure for data science
par: Garner, Henry.
Publié: (2015)

The Statistics and Machine Learning with R Workshop : Unlock the power of efficient data science modeling with this hands-on guide
par: Peng, Liu.

The Pandas Workshop : A comprehensive guide to using Python for data analysis with real-world case studies
par: Bateman, Blaine.
Publié: (2022)

Streamlit for Data Science : Create interactive data apps in Python
par: Richards, Tyler.

Data Analytics with SAS : Explore your data and get actionable insights with the power of SAS
par: Sidana, Nishant.

Python data science essentials : a practitioner's guide covering essential data science principles, tools and techniques
par: Boschetti, Alberto.
Publié: (2018)

Université catholique de l'Ouest - Bibliothèques - 3 place André Leroy - BP10808 - 49008 ANGERS Cedex 1