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This guy built an entire AI data science team in Python. Then open-sourced (100% free). It automates data science workflows with AI, including data loading, cleaning, exploratory analysis, and feature engineering. And it tracks each step in a 100% reproducible pipeline. 00:00 Project Overview 01:32 Diving into the AI...

85,464 просмотров • 10 месяцев назад •via X (Twitter)

Комментарии: 12

Фото профиля Matt Dancho (Business Science)
Matt Dancho (Business Science)10 месяцев назад

P.S. Want live AI + Data Science training with me for free? Register for my next live AI for Data Scientists Workshop here:

Фото профиля Quintin Tyree
Quintin Tyree10 месяцев назад

Awesome. This can go in so many different directions! Having a tab with live figures and updated table would be nice to toggle between! Excited to follow along

Фото профиля Matt Dancho (Business Science)
Matt Dancho (Business Science)10 месяцев назад

Yes. Please make requests on GitHub.

Фото профиля Aditya
Aditya10 месяцев назад

AI Council and now this, we are truly living in the agentic AI era.

Фото профиля ⚡️Boltbet⚡️
⚡️Boltbet⚡️10 месяцев назад

⚡️⚡️❤️

Фото профиля FrostByte
FrostByte10 месяцев назад

this is excellent work

Фото профиля Matt Dancho (Business Science)
Matt Dancho (Business Science)10 месяцев назад

Thank you!

Фото профиля Preet
Preet10 месяцев назад

Very impressive. Reproducibility + automated cleaning is the hardest part to get right—how does it handle edge cases like mixed dtypes, outliers, or domain-specific cleaning rules?”

Фото профиля Suhrab Khan⚡️
Suhrab Khan⚡️10 месяцев назад

This open-source AI data science team is a game-changer! Fully automating the workflow from cleaning to feature engineering while keeping everything reproducible is exactly what many teams have been waiting for.

Фото профиля Ramsha
Ramsha9 месяцев назад

Ok

Фото профиля Chuck Petras
Chuck Petras10 месяцев назад

@BrianRoemmele

Фото профиля sasha.nothing(🪞,🪞)
sasha.nothing(🪞,🪞)10 месяцев назад

Noice, any Plan for time series analysis agents🫡

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