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#datasciencetraining — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #datasciencetraining, aggregated by home.social.

  1. Combining Principal Component Analysis (PCA) with k-means Clustering in R can significantly enhance your data analysis by reducing dimensionality and improving clustering performance.

    Check out my article created with Cansu Kebabci: statisticsglobe.com/pca-before

    I've also created a video: youtube.com/watch?v=nzhSjOKSGC8

    Furthermore, I offer an extensive online course on PCA: statisticsglobe.com/online-cou

    #datasciencetraining #bigdata #advancedanalytics #datasciencecourse

  2. Heterogeneous Treatment Effects (HTE) are a game-changer in A/B testing that often gets overlooked.

    The visualization recently shared by Leihua Ye highlights that some segments of users, like the top and bottom 5%, might show vastly different outcomes.

    For regular updates on data science, statistics, Python, and R programming, subscribe to my free email newsletter! Check out this link for more details: eepurl.com/gH6myT

    #datasciencetraining #dataanalytics #advancedanalytics

  3. Creating publication-ready plots in R is easier than ever with ggpubr. This extension for ggplot2 simplifies the process of generating clean and professional graphics, especially for exploratory data analysis and reporting.

    Course link: statisticsglobe.com/online-cou

    #dataanalytics #rstats #dataanalytic #datavisualization #package #datasciencetraining #visualanalytics #datastructure #tidyverse #ggplot2