instructions to reviewer
before testing the code, please navigate to 'Bund Amadi Final.'
- begin with notebook 0 to duplicate data preprocess and data mining. In folder 0, use pipeline.csv as data mining product.
- 0.1 folder contains clustering artifacts, cluster_technique_analysis.ipynb is the main clustering and analysis and clustering_resampled.ipynb is clustering methodology on resampled data.
- proceed to run folders 1,2 and 3. No manipulation of files is needed.