How to debug a Jupyter notebook from Kaggle with LLMs & AI ?
Use Generative AI and LLM capabilities to debug a Jupyter notebook from Kaggle (use case : Text mining & Naïve Bayes)
15
students
1 hour
content
Apr 2025
last update
FREE
regular price
What you will learn
How to use Generative AI and LLMs (e.g., ChatGPT) to debug and enhance Python code in Jupyter notebooks
Practical application of AI tools to analyze and fix real-world data science notebooks from Kaggle
Fundamentals of text mining and natural language processing (NLP)
How Naïve Bayes classification works and how to apply it to text data
How to identify and correct common errors in machine learning pipelines
Techniques for preprocessing textual data (tokenization, vectorization, stop-word removal, etc.)
Model evaluation using accuracy, confusion matrix, and other metrics
How to optimize code for readability, performance, and clarity with the help of LLMs
Collaborative workflows between human developers and AI-powered assistants
Best practices for using LLMs responsibly and effectively in data science tasks
Screenshots
6577163
udemy ID
4/18/2025
course created date
4/24/2025
course indexed date
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