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    3. Regression, Data Mining, Text Mining, Forecasting using R

    Regression, Data Mining, Text Mining, Forecasting using R

    Posted By: lucky_aut
    Date: 9 Sep 2024 05:59:46
    Regression, Data Mining, Text Mining, Forecasting using R

    Regression, Data Mining, Text Mining, Forecasting using R
    Duration: 32h57m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 4.9 GB
    Genre: eLearning | Language: English

    Learn Regression Techniques, Data Mining, Forecasting, Text Mining using R


    What you'll learn
    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 K-Means 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

    Requirements
    Download R & RStudio before starting this tutorial
    Download datasets folder in zipfile which is uploaded in starting of all sections

    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 understanding
    Learn about the usage of R for building Regression models


    Learn about the K-Means clustering algorithm & how to use R to accomplish the same
    Learn about the science behind text mining, word cloud, sentiment analysis & accomplish the same using R
    Learn about Forecasting models including AR, MA, ES, ARMA, ARIMA, etc., and how to accomplish the same using R
    Learn about Logistic Regression & how to accomplish the same using R
    Who this course is for:
    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.

    More Info
    UPWARDS