Post
2293
๐๐ด๐ฒ๐ป๐๐ถ๐ฐ ๐๐ฎ๐๐ฎ ๐ฎ๐ป๐ฎ๐น๐๐๐: ๐ฑ๐ฟ๐ผ๐ฝ ๐๐ผ๐๐ฟ ๐ฑ๐ฎ๐๐ฎ ๐ณ๐ถ๐น๐ฒ, ๐น๐ฒ๐ ๐๐ต๐ฒ ๐๐๐ ๐ฑ๐ผ ๐๐ต๐ฒ ๐ฎ๐ป๐ฎ๐น๐๐๐ถ๐ ๐โ๏ธ
Need to make quick exploratory data analysis? โก๏ธ Get help from an agent.
I was impressed by Llama-3.1's capacity to derive insights from data. Given a csv file, it makes quick work of exploratory data analysis and can derive interesting insights.
On the data from the Kaggle titanic challenge, that records which passengers survived the Titanic wreckage, it was able by itself to derive interesting trends like "passengers that paid higher fares were more likely to survive" or "survival rate was much higher for women than men".
The cookbook even lets the agent built its own submission to the challenge, and it ranks under 3,000 out of 17,000 submissions: ๐ not bad at all!
Try it for yourself in this Space demo ๐ m-ric/agent-data-analyst
Need to make quick exploratory data analysis? โก๏ธ Get help from an agent.
I was impressed by Llama-3.1's capacity to derive insights from data. Given a csv file, it makes quick work of exploratory data analysis and can derive interesting insights.
On the data from the Kaggle titanic challenge, that records which passengers survived the Titanic wreckage, it was able by itself to derive interesting trends like "passengers that paid higher fares were more likely to survive" or "survival rate was much higher for women than men".
The cookbook even lets the agent built its own submission to the challenge, and it ranks under 3,000 out of 17,000 submissions: ๐ not bad at all!
Try it for yourself in this Space demo ๐ m-ric/agent-data-analyst
- 2 replies