Analysis
This article explores how Generative AI can be used to streamline data preprocessing, specifically focusing on feature selection and dimensionality reduction using Principal Component Analysis (PCA). It highlights the potential for AI to automate and accelerate data analysis workflows, making the process more efficient and accessible.
Key Takeaways
- •The article demonstrates using AI for feature selection and dimensionality reduction.
- •It showcases the use of PCA for data preprocessing.
- •The study confirms the possibility of substituting AI in data analysis tasks.
Reference / Citation
View Original"The result showed that it seems to be possible to substitute with AI."