Potpourri: Statistics #89

1519. Applied Time Series Analysis and Forecasting with R
1520. Five Inspiring Data Visualization Galleries
1521. 10 Days Of Grad: Deep Learning From The First Principles
1522. Deep Learning Examples
1523. Interactive Tooltip Tables
1524. How to Run Surveys: A Guide to Creating Your Own Identifying Variation and Revealing
1525. Likert-Type Scale Response Anchors
1526. Ordinal Regression as a Model for Signal Detection
1527. Team Collaboration in R and Python Made Easy
1528. Regression modeling for linguistic data
1529. Coding for Economists
1530. verbaliseR: A package to help make your R-generated text mighty fine
1531. Automatically deploying a Shiny app for browsing #RStats tweets with GitHub Actions
1532. Introducing the text package
1533. Audio classification with torch
1534. Map any region in the world with R – Part I: The basic map
1535. A Gentle Introduction to using Support Vector Machines for Classification
1536. 6 Productivity Hacks for Quarto
1537. Programming with R {dplyr} – As I Understand It!!
1538. An Explorable Explainer of K-Means Clustering
1539. Demystifying delayed aesthetic evaluation: Part 1
1540. Demystifying delayed aesthetic evaluation: Part 2
1541. Bivariate Choropleth Maps: A How-to Guide
1542. What’s New In Machine Learning?
1543. The grammar of tables in python (pandas) and R (gt)
1544. Creating Custom Color Palettes with ggplot2
1545. How fateful?
1546. How to set up Python in 2022
1547. Complete Machine Learning Package
1548. More on Speeding up the Survey Package: Adding the New C++ Functions to the Package
1549. Machine Learning: The Boring Parts


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