Customer segmentations

Description

Clustering demo tool for different data.

For this app is using FastAPI for the backend service and streamlit for the frontend service. docker-compose orchestrates the two services and allows communication between them.

Setup

To run the example in a machine running Docker and docker-compose, run:

docker-compose build
docker-compose up

To visit the FastAPI documentation of the resulting service, visit http://localhost:8000 with a web browser.
To visit the streamlit UI, visit http://localhost:8501.

Logs can be inspected via:

docker-compose logs

Available methods:

Preprocessing method:

• MinMaxScale
• StandardScaler

Dimension reduction method:

• PCA
• t-SNE
• LDA

Clustering algorithms:

• KMeans
• MiniBatchKMeans
• SpectralClustering
• Birch
• AgglomerativeClustering

Streamlit app view

Vizualizations

Elbow Cluster Recommendation

Silhoutte Vizualization

Cluster Features Correlation Vizualization

Features Importances Vizualization

Component Vizualization

Clusters Features Distribute Vizualization