Regression, Data Mining, Text Mining, Forecasting using R
Regression, Data Mining, Text Mining, Forecasting using R. Learn Regression Techniques, Data Mining, Forecasting, Text Mining using R
100,00 € 10,00 €
The name of this course is Regression, Data Mining, Text Mining, Forecasting using R. The knowledge you will get with this indescribable online course is astonishing. Learn Regression Techniques, Data Mining, Forecasting, Text Mining using R.
Not only will you be able to deeply internalize the concepts, but also their application in different fields won’t ever be a problem. The instructor is ExcelR Solutions, one of the very best experts in this field.
Description of this course: Regression, Data Mining, Text Mining, Forecasting using R
Course Description Data Science using R is designed to cover majority of the capabilities of R from Analytics & Data Science perspective, which includes the following: Learn about the basic statistics, including measures of central tendency, dispersion, skewness, kurtosis, graphical representation, probability, probability distribution, etc.Learn about scatter diagram, correlation coefficient, confidence interval, Z distribution & t distribution, which are all required for Linear Regression understandingLearn about the usage of R for building Regression models Learn about the KMeans clustering algorithm & how to use R to accomplish the sameLearn about the science behind text mining, word cloud, sentiment analysis & accomplish the same using RLearn about Forecasting models including AR, MA, ES, ARMA, ARIMA, etc., and how to accomplish the same using RLearn about Logistic Regression & how to accomplish the same using R
Requirements of this course: Regression, Data Mining, Text Mining, Forecasting using R
What are the requirements? Download R & RStudio before starting this tutorial Download datasets folder in zipfile which is uploaded in session 1
What will you learn in this course: Regression, Data Mining, Text Mining, Forecasting using R?
What am I going to get from this course? Learn about the basic statistics, including measures of central tendency, dispersion, skewness, kurtosis, graphical representation, probability, probability distribution, etc. Learn about scatter diagram, correlation coefficient, confidence interval, Z distribution & t distribution, which are all required for Linear Regression understanding Learn about the usage of R for building Linear Regression Learn about the KMeans clustering algorithm & how to use R to accomplish this Learn about the science behind text mining, word cloud & sentiment analysis & accomplish the same using R
Target audience of this course: Regression, Data Mining, Text Mining, Forecasting using R
Who is the target audience? All the IT professionals, whose experience ranges from ‘0’ onwards are eligible to take this session. Especially professionals from data analysis, data warehouse, data mining, business intelligence, reporting, data science, etc, will naturally fit in well to take this course.
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