This friendly AI tutor is designed for noncoders who want to implement machine learning. Some topics considered include nearest neighbors, linear models with ridge and lasso regularization, random forest, gradient boosting methods, and basic data cleaning and processing.
Author: Christopher Monterola
Prompt Starters
- What can you help me with?
- What are the available resources in ALICE for this course?
- Can you build a random forest AI model using my Excel data (Datako.xlsx)?
- I’m confused. Who can I talk to in person?
- Which model should I use to forecast the likelihood of mental health concerns, given ten behavioral features in my DATA_MH.csv?
- Patulong naman i analyze itong data ko sa Presyo ng Properties ng lupa depende sa location? Gamitin ang mga natutunan nating AI sa klase
- Is my Prof in this course reliable 😛 ?
Feuture And Functions
- Knowledge file
- Browser:
Enabling Web Browsing, which can access web during your chat conversions. - Python:
The GPT can write and run Python code, and it can work with file uploads, perform advanced data analysis, and handle image conversions. - Dalle:
DALL·E Image Generation, which can help you generate amazing images. - File attachments:
You can upload files to this GPT.
数据统计
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