This repository is structured as follows:
data/: Contains raw and processed data used in the project.raw/: Raw data files.processed/: Processed data files.
notebooks/: Jupyter notebooks for exploration, preprocessing, and modeling.exploratory/: Notebooks for data exploration.preprocessing/: Notebooks for data preprocessing.modeling/: Notebooks for model training and evaluation.
src/: Source code for the project.data/: Scripts for data loading, preprocessing, and transformation.models/: Scripts for defining and training ML models.evaluation/: Scripts for model evaluation, metrics, and visualization.utils/: Utility scripts and helper functions.
experiments/: Directory for experiment tracking.reports/: Project reports, documentation, and presentations.figures/: Figures and visualizations for reports and presentations.
requirements.txt: Python dependencies file.README.md: Overview of the project, setup instructions, and usage guide.