🚀 Hey everyone! I’m thrilled to share my latest project where I’m using a Mistral AI agent to interpret the statistical results of the Fama French 4-Factor Model for portfolio analysis—all without writing a single line of code! 🎉 I showed how the AI agent not only generates Python code for a linear regression model but also interprets the results, making complex data insights easier to understand. It’s like having your own data scientist breaking down the numbers for you! 🧑‍💻 Don’t miss out—hit that subscribe button for more AI-driven analysis! ✨ #AI #DataScience #PortfolioAnalysis #MistralAI

Part 1 – How to create a coding agent and call it in a notebook – https://youtu.be/0M10yXCcXc4
Part 2 – How to create a common UI for Mistral AI Coding Agent – https://youtu.be/9UnjDhmR_TQ
Part 3 – Build an agent that creates .py script and executes for us – https://youtu.be/2_WSrYy4bmM
Part 4 – Using Mistral AI to build a Jarvis to run experiments – https://youtu.be/5mxe1BUbS7Y
Part 5 – Run a Fama French 4-factor Model using Mistral AI Agent – https://youtu.be/2HVpZxpqU_A
Part 6 – Interpret statistical results after Fama French – https://youtu.be/-gR0alrocMk

App (hosted on HuggingFace) – https://huggingface.co/spaces/eagle0504/MistralAI-Agent
Repo – https://github.com/yiqiao-yin/WYNAssociates/blob/main/docs/ref-deeplearning/ex24f%20-%20mistral%20agent%20exercise%20part%201-4.ipynb