GitHub repository: Bootcamp-IA-P4/stock-market-eda
Primary language: Jupyter Notebook
Created: 2025-04-01T20:52:42Z
Description: This is my work making  an EDA on synth stocks: Loaded 1k clean rows (no nulls/dupes). Fixed Date dtype, added 9 features. Analyzed distributions & relationships. Key findings: mostly symmetric data, weak correlations, no IQR outliers.