irinamax Goto Github PK

r_keras

r_marketing_analysis

working with SparkR

r_recommendation_system

Data and code for the Dataists R recommendation system contest

r_spark_mywork

working with SparkR

sentiment

sentiment is an R package with tools for sentiment analysis including bayesian classifiers for positivity/negativity and emotion classification.

sentiment-1

Sentiment analysis using VADER in Scala

sentiment-analysis-with_graphs-on-youtube-scraping-data

sentimentsetsr

A customizable sentiment package for R language

setiment_analysis_pyspark

Simple sentiment analysis model with PySpark

shared

Code and shared files

shiny

Easy interactive web applications with R

sigopt-examples

Optimization Examples with SigOpt

some-example

some example

spark

Mirror of Apache Spark (With R Frontend on Spark Streaming)

spark-1

Apache Spark (Scala, PySpark, SparkR) Code, Tricks, and References

spark-ec2

Scripts used to setup a Spark cluster on EC2

starter-kit

Guidelines for starting up a local R-Ladies chapter :purple_heart: :earth_africa:

statistica_of_diabetes

This is my statistical experimenting models using diabetes incidents

study_1

Some interesting work and research.

svd_r

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-1

TensorFlow for R

tensorflow-examples

TensorFlow Tutorial and Examples for beginners

the-r-in-spark

Mastering Apache Spark with R

tutorials

StreamSets Tutorials

vadersentiment

VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.

visualization-r

Tutorial of visualization in R. You can make variety of plots using ggplot2

web_scraping_with_r

webinars

Code and slides for RStudio webinars

weka