๐Ÿ“Šdata scienceGitHubContent type: Code

๐—ช๐—ต๐—ฎ๐˜ ๐—ถ๐—ณ ๐ซ๐ž๐ฅ๐ข๐š๐›๐ฅ๐ฒ ๐—ฎ๐˜‚๐˜๐—ผ๐—บ๐—ฎ๐˜๐—ถ๐—ป๐—ด ๐˜†๐—ผ๐˜‚๐—ฟ ๐—ฑ๐—ฎ๐˜๐—ฎ ๐˜€๐—ฐ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ ๐ญ๐š๐ฌ๐ค๐ฌ ๐˜„๐—ฎ๐˜€ ๐Ÿ๐ข๐ง๐š๐ฅ๐ฅ๐ฒ ๐˜„๐—ถ๐˜๐—ต๐—ถ๐—ป ๐—ฟ๐—ฒ๐—ฎ๐—ฐ๐—ต?! (opens in new tab)

Discussed on DEV

We all know the grind of working with data, even with AI tools: every experiment starts with re-explaining everything, every iteration needs you to prompt, wait, review, correct, and repeat. And the moment you close the session, everything learned is gone. It makes us the bottleneck, and this hinders human-AI collaboration... So I built ๐Ž๐ฉ๐ž๐ง๐ƒ๐š๐ญ๐š๐’๐œ๐ข, an autonomous agent purpose-built for DS/ML, and tested it on Kaggle. I enrolled in a recent competition, ran the agent with no hints, no guidanc...

Read the original article
Sign in to keep reading the full article.

Keyboard Shortcuts

Navigation

Next / previous post
j/k
Open post
oorEnter
Preview post
v

Post Actions

Love post
a
Like post
l
Dislike post
d
Undo reaction
u
Save / unsave
s

Recommendations

Add interest / feed
Enter
Not interested
x

Go to

Home
gh
Interests
gi
Feeds
gf
Likes
gl
History
gy
Changelog
gc
Settings
gs
Discover
gb
Search
/

General

Show this help
?
Submit feedback
!
Close modal / unfocus
Esc

Press ? anytime to show this help