Tags
Language
Tags
<<
June 2025
Su Mo Tu We Th Fr Sa
1 2 3 4 5 6 7
8 9 10 11 12 13 14
15 16 17 18 19 20 21
22 23 24 25 26 27 28
29 30 1 2 3 4 5
    Attention❗ To save your time, in order to download anything on this site, you must be registered 👉 HERE. If you do not have a registration yet, it is better to do it right away. ✌
    https://sophisticatedspectra.com/article/drosia-serenity-a-modern-oasis-in-the-heart-of-larnaca.2521391.html

    DROSIA SERENITY
    A Premium Residential Project in the Heart of Drosia, Larnaca
    ONLY TWO FLATS REMAIN!

    Modern and impressive architectural design with high-quality finishes Spacious 2-bedroom apartments with two verandas and smart layouts Penthouse units with private rooftop gardens of up to 63 m² Private covered parking for each apartment Exceptionally quiet location just 5–8 minutes from the marina, Finikoudes Beach, Metropolis Mall, and city center Quick access to all major routes and the highway Boutique-style building with only 8 apartments High-spec technical features including A/C provisions, solar water heater, and photovoltaic system setup.
    Whether for living or investment, this is a rare opportunity in a strategic and desirable location.

    1. Home
    2. eBooks & eLearning
    3. Complete Guide to R: Wrangling, Visualizing, and Modeling Data

    Complete Guide to R: Wrangling, Visualizing, and Modeling Data

    Posted By: IrGens
    Date: 10 Apr 2025 21:41:07
    Complete Guide to R: Wrangling, Visualizing, and Modeling Data

    Complete Guide to R: Wrangling, Visualizing, and Modeling Data
    .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 8h 15m | 1.35 GB
    Instructor: Barton Poulson

    Trying to locate meaning and direction in big data is difficult. R can help you find your way. R is a statistical programming language to analyze and visualize the relationships between large amounts of data. This course with data analytics expert Barton Poulson provides a thorough introduction to R, with detailed instruction for installing and navigating R and RStudio and hands-on examples, from exploratory graphics to neural networks.

    Barton shows how to get R and popular R packages up and running and start importing, cleaning, and converting data for analysis. He also shows how to create visualizations such as bar charts, histograms, and scatterplots and transform categorical, qualitative, and outlier data to best meet your research questions and the requirements of your algorithms.

    Learning objectives

    • Define key data types in R used for data analysis.
    • Explain the process of how to import datasets into R.
    • Apply basic data wrangling techniques on a dataset using tidyverse.
    • Create and interpret basic statistical charts (histograms, scatter plots, box plots) using ggplot2.
    • Illustrate the process of performing linear regression analysis in R.
    • Generate and evaluate decision trees using R for classification tasks.
    • Perform hierarchical and k-means clustering for segmenting a dataset.
    • Utilize logistic regression for binary outcome prediction with categorical variables.
    • Implement K-nearest neighbors (KNN) algorithm for classification tasks.
    • Assess the performance of predictive models using training and testing datasets.

    More Info

    Complete Guide to R: Wrangling, Visualizing, and Modeling Data
    UPWARDS