Building Machine Learning Models with No Coding Experience (Claude Code)
I used Claude Code to build 4 machine learning models (Logistic Regression, Random Forest, XGBoost, LightGBM) and an MSPC model on the Tennessee Eastman Process. I have no coding experience. More than 1,000 lines of code, zero written by me. Here's exactly how.
Helpful links:
TEP Dataset: https://www.kaggle.com/datasets/afrni...
More on the TEP: https://keepfloyding.github.io/posts/...
GitHub Repo: https://github.com/ScottDuncanAI/TEP-...
How to download Claude Code: https://code.claude.com/docs/en/quick...
00:00 Introduction
00:47 - TEP Review
01:32 - Claude Code Review
02:52 - Downloading the TEP
03:38 - Opening Claude Code
06:24 - Building the ML Models
19:37 - Reviewing Initial ML Results
20:58 - Troubleshooting
24:47 - Reviewing Updated ML Results
29:53 - MSPC Overview
31:18 - Building the MSPC Model
32:27 - Comparing MSPC Results to ML
34:22 - Contribution Plots
37:57 - Main Takeaways
41:00 - Closing
#MachineLearning #ClaudeCode #TennesseeEastmanProcess #faultdetection #mspc