Learn Emotion Analysis with R : Perform Sentiment Assessments, Extract Emotions, and Learn NLP Techniques Using R and Shiny

Learn Emotion Analysis with R : Perform Sentiment Assessments, Extract Emotions, and Learn NLP Techniques Using R and Shiny

Enregistré dans:

Détails bibliographiques
Auteur principal:	Majumdar, Partha. (Auteur)
Support:	E-Book
Langue:	Anglais
Publié:	New Delhi : BPB Publications.
Autres localisations:	Voir dans le Sudoc
Accès en ligne:	Accès à l'E-book

Documents similaires

Machine Learning for Emotion Analysis in Python : Build AI-powered tools for analyzing emotion using natural language processing and machine learning
par: Ramsay, Allan.

Mastering Classification Algorithms for Machine Learning : Learn how to apply Classification algorithms for effective Machine Learning solutions
par: Majumdar, Partha.

Learning R for geospatial analysis
par: Dorman, Michael (19..-....; programmateur).
Publié: (2014)

Learning Shiny
par: Resnizky, Hernan G..
Publié: (2015)

Learning RStudio for R statistical computing : learn to effectively perform R development, statistical analysis, and reporting with the most popular R IDE
par: Van der Loo, Mark P.J..
Publié: (2012)

R machine learning projects : implement supervised, unsupervised, and reinforcement learning techniques using R 3.5
par: Chinnamgari, Sunil Kumar.
Publié: (2019)

Linear Programming for Project Management Professionals : Explore Concepts, Techniques, and Tools to Achieve Project Management Objectives
par: Majumdar, Partha.

Web application development with R using Shiny
par: Beeley, Chris (19..-....).
Publié: (2018)

Machine learning with R : learn how to use R to apply powerful machine learning methods and gain an insight into real-world applications
par: Lantz, Brett.
Publié: (2013)

Learning R programming
par: Ren, Kun.
Publié: (2016)

Mastering machine learning with R : advanced machine learning techniques for building smart applications with R 3.5
par: Lesmeister, Cory.
Publié: (2019)

Learning Linux binary analysis
par: O'Neill, Ryan.
Publié: (2016)

Learning Geospatial Analysis with Python
par: Lawhead, Joel.
Publié: (2013)

Learning Malware analysis : explore the concepts, tools, and techniques to analyze and investigate Windows malware
par: Monnappa, K.A..
Publié: (2018)

Learning Geospatial Analysis with Python : Unleash the power of Python 3 with practical techniques for learning GIS and remote sensing
par: Lawhead, Joel.

Emotions et sentiments
par: Favez-Boutonier, Juliette, 1903-1994.
Publié: (1960)

Emotions et sentiments
par: Favez-Boutonier, Juliette, 1903-1994.
Publié: (1959)

Emotions et sentiments
par: Favez-Boutonier, Juliette, 1903-1994.
Publié: (1960)

Practical machine learning for data analysis using Python
par: Subasi, Abdulhamit (19..-....).
Publié: (2020)

Data Analysis with R
par: Fischetti, Tony.
Publié: (2015)

Machine Learning with R Quick Start Guide : A beginner's guide to implementing machine learning techniques from scratch using R 3.5
par: Pastor Sanz, Iván.
Publié: (2019)

Applied Supervised Learning with R : Use machine learning libraries of R to build models that solve business problems and predict future trends
par: Ramasubramanian, Karthik.
Publié: (2019)

Hands-On Exploratory Data Analysis with R : Become an expert in exploratory data analysis using R packages
par: Datar, Radhika.
Publié: (2019)

Deep Learning with R Cookbook : Over 45 unique recipes to delve into neural network techniques using R 3.5.x
par: Gupta, Swarna.
Publié: (2020)

R machine learning essentials
par: Usuelli, Michele.
Publié: (2014)

Learning quantitative finance with R
par: Jeet, Dr. Param.
Publié: (2017)

Practical machine learning in R
par: Nwanganga, Fred (19..-....).

Hands-on ensemble learning with R
par: Tattar, Prabhanjan Narayanachar (1979-....).
Publié: (2018)

Mastering machine learning with R
par: Lesmeister, Cory.
Publié: (2017)

Learning predictive analytics with R
par: Mayor, Eric.
Publié: (2015)

Mastering Machine Learning with R
par: Lesmeister, Cory.
Publié: (2015)

R deep learning projects : master the techniques to design and develop neural network models in R
par: Liu, Yuxi (Hayden).
Publié: (2018)

Machine Learning with R : Learn techniques for building and improving machine learning models, from data preparation to model tuning, evaluation, and working with big data
par: Lantz, Brett.

Data analysis and graphics using R : an example-based approach
par: Maindonald, John Hilary, 1937-
Publié: (2007)

Learning Bayesian models with R : become an expert in Bayesian machine learning methods using R and apply them to solve real-world big data problems
par: Koduvely, Hari M..
Publié: (2015)

Intelligent data analysis for e-Learning : enhancing security and trustworthiness in online learning systems
par: Miguel, Jorge.
Publié: (2016)

Hands-On Deep Learning with R : A practical guide to designing, building, and improving neural network models using R
par: Pawlus, Michael.
Publié: (2020)

Advanced Deep Learning with R : Become an expert at designing, building, and improving advanced neural network models using R
par: Rai, Bharatendra.
Publié: (2019)

Mastering data analysis with R
par: Daróczi, Gergely (19..-....).
Publié: (2015)

R data analysis cookbook
par: Ganguly, Kuntal.
Publié: (2017)

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