Data Science Agent in Colab

how the Data Science Agent works:

Start fresh: Open a blank Colab notebook.
Add your data: Upload your data file.
Describe your goals: Describe what kind of analysis or prototype you want to build in the Gemini side panel (e.g., "Visualize trends," "Build and optimize prediction model", “Fill-in missing values”, “Select the best statistical technique”).
Watch the Data Science Agent get to work: Sit back and watch as the necessary code, import libraries, and analysis is generated in a working Colab notebook.

Fully functional Colab notebooks: Not just code snippets, but complete, executable notebooks.
Modifiable solutions: Easily customize and extend the generated code to fit your specific needs.
Sharable results: Collaborate with teammates using standard Colab sharing features.
Time savings: Focus on deriving insights from your data instead of wrestling with setup and boilerplate code.

Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
Glass Classification.ipynb		Glass Classification.ipynb
Iris.csv		Iris.csv
Mobiles Dataset.ipynb		Mobiles Dataset.ipynb
README.md		README.md
Stack Overflow Annual Developer Survey.ipynb		Stack Overflow Annual Developer Survey.ipynb
glass.csv		glass.csv
rish species visualization.ipynb		rish species visualization.ipynb