Jeremy Nguyen
@jdknguyen
Tweeting about data, and writing. Soon tweeting about data and writing without the comma. work: http://bit.ly/3rRJ0yc writing: http://dr-jeremy-nguyen.com
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The most commonly used #RStats functions in @drob's #TidyTuesday screencasts. As annotated by @alexcookson. I'm trying to use the Pareto 80/20 principle to put together a concise list of functions that will give students the most mileage.
Do you love Regular Expressions? Me neither. Check autoregex .xyz 📌 A very handy tool that converts plain English into regex and vice versa. Definitely worth bookmarking.
Are NFTs racist? Dark-skinned CryptoPunks rarer, but sell for less w/ @lapphan afr.com/technology/are…
Racial discrimination in NFT prices? New paper out now, reply below for a copy.
Hey #econtwitter what are some good non-academic articles (eg. NYT not AER) about: the future of work and business post-COVID? Also, did "k-shaped recovery" just really drop off as a concept?
New published paper in Applied Economics on predicting individual sport event attendance with machine learning - authored with @jdknguyen and @prof_hmcd - 50 copies available here or get in touch: tandfonline.com/eprint/ZENDDCN…
If you are starting a new semester with "An Introduction to Statistical Learning" and want to pick up #tidymodels at the same time, then you are in luck✨ I have compiled (mostly complete) labs using tidymodels for all of you to use and teach with emilhvitfeldt.github.io/ISLR-tidymodel… #rstats
A simple map, made with dplyr and ggplot2. #DataScience #Datavisualization #maps #rstats
It is almost the year 2022. Please tell aspiring #rstats or #Python data scientists - I do not need their phone number. Nor do I want to click on their LinkedIn. I want a GitHub profile with not just forks, or better yet, a real actual website 🎁
This tweet brought to you by the observation that some of the most intuitive Bayesian thinkers I know don’t explicitly update using percentages. Instead they seem to do something different. Many of them seem to generate multiple explanatory stories instead and hold them loosely.
One R function that I forget about and maybe you do too: reformulate() can take a character vector and turn it into the right-hand side of a model formula (and you can add the outcome too). eg: reformulate(c("var1", "var2"), response = "outcome")
If you are reading the 2nd edition of "An Introduction to Statistical Learning" and want to pick up #tidymodels at the same time, then you are in luck ✨ I have compiled complementary labs using tidymodels for all of you to use and teach with emilhvitfeldt.github.io/ISLR-tidymodel… #rstats
A nice way to introduce causal inference is to say “prediction is abt y hat. Causal inference is abt beta hat”. Learned that from a friend. It sort of gives this nice concept for students who will be using the same equations both ways.
📖📚I'm excited about our new reading group on machine learning and economics!📕📓 Each meeting, we will read one technical paper & one corresponding big picture / critical paper: maxkasy.github.io/home/ML_Econ_O… For next term, the readings are as follows: 1/5
If given the chance, I'll contribute easy-to-use Data Visualisation and Data Science support to the Crypto College community.
Not everyone can afford CryptoCollege... We're now minting at .9e cryptocollege.latecheckout.studio So, my good friends @JoeLallouz and @mikekarnj have been kind enough to offer a couple more scholarships ❤️ If you want in on the course, quote RT/reply why you want to join for free
Just finished teaching a data science programming in R course for @UBCMDS. On the last quiz, I asked students - What was the most difficult thing to learn in this class? The most common responses in this 🧵
College completely failed in teaching me how to write. So I spent over 500 hours studying legendary authors and copywriters. Then, I distilled what I learned into 6 simple frameworks. But unlike college, these won't cost you $120,000. Here they are for free:
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