#### User Guide #### ## Note: This is a read-only repo. This project is expanded into an end-to-end asset alloction system: https://github.com/ianyu93/asset-allocation-system The project contains: - A summary report in PDF - Jupyter notebooks detailing the process - Data folder with original dataset, cleaned dataset, and engineered datasets - Models folder with 3 trained models in h5 format - Image folder with images that are used within the notebooks and the summary report To gain a high-level understanding of the project, please read: -Summary Report For details of the project's process, please read Jupyter notebooks in the order of: 0. About the Project 1. Data Cleaning 2. Feature Engineering 3. Hypertuning (3 notebooks for 3 models, content mostly the same) 4. Predictor Training (3 noteoboks for 3 models, content mostly the same) 5. Testing Models This link provides access to all three models: https://drive.google.com/drive/folders/1sJIyN896OKFjiWKdcVdShqmIidM6yPIk?usp=sharing To rerun the models in '5-Testing Models.ipynb', please download and place the models in the '4-Models' folder