Code interpreter with o1 and GPT-4o

An AI data scientist leverages OpenAI's o1 reasoning model, GPT-4o, and E2B's Code Interpreter SDK to design and train a machine learning model using the Titanic dataset from Kaggle, aiming to predict passenger survival. The process involves using o1-mini to create a detailed plan with multiple code blocks and GPT-4o-mini to consolidate these into a single code block, executed within a secure cloud sandbox using E2B's SDK. The method includes data processing, cleaning, model training, and performance visualization through a decision tree classifier, with results displayed in a generated chart. The entire process is automated, requiring users to install necessary software, set up API keys, and run the program to see the results, with full code available in a GitHub cookbook.

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