Potpourri: Statistics #89

Oct 25, 2022
  1. Applied Time Series Analysis and Forecasting with R1520. Five Inspiring Data Visualization Galleries1521. 10 Days Of Grad: Deep Learning From The First Principles1522. Deep Learning Examples1523. Interactive Tooltip Tables1524. How to Run Surveys: A Guide to Creating Your Own Identifying Variation and Revealing1525. Likert-Type Scale Response Anchors1526. Ordinal Regression as a Model for Signal Detection1527. Team Collaboration in R and Python Made Easy1528. Regression modeling for linguistic data1529. Coding for Economists1530. verbaliseR: A package to help make your R-generated text mighty fine1531. Automatically deploying a Shiny app for browsing #RStats tweets with GitHub Actions1532. Introducing the text package1533. Audio classification with torch1534. Map any region in the world with R - Part I: The basic map1535. A Gentle Introduction to using Support Vector Machines for Classification1536. 6 Productivity Hacks for Quarto1537. Programming with R {dplyr} - As I Understand It!!1538. An Explorable Explainer of K-Means Clustering1539. Demystifying delayed aesthetic evaluation: Part 11540. Demystifying delayed aesthetic evaluation: Part 21541. Bivariate Choropleth Maps: A How-to Guide1542. What's New In Machine Learning?1543. The grammar of tables in python (pandas) and R (gt)1544. Creating Custom Color Palettes with ggplot21545. How fateful?1546. How to set up Python in 20221547. Complete Machine Learning Package1548. More on Speeding up the Survey Package: Adding the New C++ Functions to the Package1549. Machine Learning: The Boring Parts

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Erik Gahner Larsen
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