If you aspire to be a career woman, please marry a man that will support your career.
Behind those academic achievements and career wins is a husband who carried part of the load
Hi #EconTwitter!
Interested in #microeconometrics & causal inference?
Damian Clarke's (@UniofExeter) 𝐀𝐩𝐩𝐥𝐢𝐞𝐝 𝐌𝐢𝐜𝐫𝐨𝐞𝐜𝐨𝐧𝐨𝐦𝐞𝐭𝐫𝐢𝐜𝐬 is out! The website is free, open and very cool, with lots of code/data in #R, #Python & #Stata.
Useful for grad students!
And if you prefer to use Codex instead of Claude Code, here is translated version of the practical guide guide: https://t.co/OEg3CFEEeM
I also had Claude and Codex work together to write a comparison between the two: https://t.co/lkaPpLaPXD
We're hiring a postdoc at MIT!
The Postdoctoral Associate will work closely with @DAcemogluMIT and @baselinescene to conduct research on the history, social implications and future of technology.
Learn more and apply by June 15: https://t.co/HNDVJ8V5PS
For BA or MA students from low- & middle-income countries: My course “Global Policy Analysis” will again be open to a number of remote students via Zoom. Course starts on Feb 17th, application deadline is Feb 10th. More information & application form here: https://t.co/ccIcOMjSXm
📣Open Webinar: Kabir Banerjee Predoctoral Fellowship
Join us for an info-packed webinar hosted by GAIN to learn how to make your application stand out, hear directly from program leaders, and get your questions answered.
➡️ Sign up: https://t.co/zMieesTA4c
If you've been wondering how to explore the informational content of your Parallel Trends assumptions to get the most precise DiD and ES estimator possible, we have some good news for you!!
Our new DiD paper is out: https://t.co/kNYgOdBoqa
😎Get along for a brief overview😎
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📣 Applications are open for the 2025 GAIN program!
Information sharing, mentoring and financial support for African students interested in graduate school in economics and related fields.
➡️ Apply here: https://t.co/atUJ2Trmld
🗓️ Deadline: February 16th
Please share widely!
How to automate data cleaning with AI.
Today, I'll show you how to automate data cleaning using my free AI co-pilot available on GitHub.
We'll create an AI co-pilot to automate data-cleaning tasks, focusing on cleaning a customer churn dataset. I'll guide you through setting up the co-pilot and using it effectively.
This AI agent is a big help.
Table of Contents:
00:00 Introduction
02:52 Setting Up Libraries
06:31 Setting Up LLMs
08:31 Creating Data Cleaner Code
11:02 Data Cleaning Process
13:02 Examining Data Cleaner Function
15:02 Final Thoughts
Github to AI Data Science Team (Army of Copilots): https://t.co/VMGf1yygym
Get the Code and Future Updates by Joining my Python AI/ML Tips Newsletter: https://t.co/RKy2mAyfbA
It's live.
I launched my stock market API for AI financial agents today.
• 16,857 tickers
• 30+ years of fundamental data
Everything is usage-based, meaning no contracts or subscriptions.
We have 3 endpoints today:
• GET income statements
• GET balance sheets
• GET cash flow statements
All data is directly from the edgar API.
You may save any data that you receive from my API.
No restrictions.
Three things:
• create an account 🙏
• send API requests 🚀
• come hang in discord ❤️
I'm just getting started.
Excited to help build the future of AI + financial data.
cc @_buildspace@_nightsweekends@FarzaTV
👉 Machine Learning Glossary
Brief visual explanations of machine learning concepts with diagrams, code examples and links to resources for learning more.
🔗 https://t.co/4iqAcVWrMc