# habibaasaber/anomaly-detection-in-4g-cellular-networks architecture

> Architecture diagram of the GitHub repository habibaasaber/anomaly-detection-in-4g-cellular-networks, generated by GitDiagram from its file tree, README and a sample of source files (last updated 2026-09-29). It is an AI-made overview: check details against the source.

- Interactive diagram: https://gitdiagram.com/habibaasaber/anomaly-detection-in-4g-cellular-networks
- Repository: https://github.com/habibaasaber/anomaly-detection-in-4g-cellular-networks

## Overview

This appears to be a small 4G anomaly-detection competition project: a notebook, training and test CSVs, and a predictions CSV. No README or source excerpts are available, so the intended workflow is suggested by filenames, but the notebook’s actual reads, processing stages, and output writes cannot be verified. The graph therefore lists the repository artifacts without asserting data-flow edges.

## Diagram (Mermaid)

```mermaid
flowchart TD

node_notebook["Anomaly notebook"]
node_train["Training data"]
node_test["Test data"]
node_predictions["Predictions"]

click node_notebook "https://github.com/habibaasaber/anomaly-detection-in-4g-cellular-networks/blob/main/4g_anomaly_detection.ipynb"
click node_train "https://github.com/habibaasaber/anomaly-detection-in-4g-cellular-networks/blob/main/ML-MATT-CompetitionQT2021_train.csv"
click node_test "https://github.com/habibaasaber/anomaly-detection-in-4g-cellular-networks/blob/main/ML-MATT-CompetitionQT2021_test.csv"
click node_predictions "https://github.com/habibaasaber/anomaly-detection-in-4g-cellular-networks/blob/main/test_predictions.csv"

classDef toneNeutral fill:#f8fafc,stroke:#334155,stroke-width:1.5px,color:#0f172a
classDef toneBlue fill:#dbeafe,stroke:#2563eb,stroke-width:1.5px,color:#172554
classDef toneAmber fill:#fef3c7,stroke:#d97706,stroke-width:1.5px,color:#78350f
classDef toneMint fill:#dcfce7,stroke:#16a34a,stroke-width:1.5px,color:#14532d
classDef toneRose fill:#ffe4e6,stroke:#e11d48,stroke-width:1.5px,color:#881337
classDef toneIndigo fill:#e0e7ff,stroke:#4f46e5,stroke-width:1.5px,color:#312e81
classDef toneTeal fill:#ccfbf1,stroke:#0f766e,stroke-width:1.5px,color:#134e4a
class node_notebook,node_train,node_test,node_predictions toneTeal
```

## Components

### Other components

- [Anomaly notebook](https://github.com/habibaasaber/anomaly-detection-in-4g-cellular-networks/blob/main/4g_anomaly_detection.ipynb): `4g_anomaly_detection.ipynb`
- [Training data](https://github.com/habibaasaber/anomaly-detection-in-4g-cellular-networks/blob/main/ML-MATT-CompetitionQT2021_train.csv): `ML-MATT-CompetitionQT2021_train.csv`
- [Test data](https://github.com/habibaasaber/anomaly-detection-in-4g-cellular-networks/blob/main/ML-MATT-CompetitionQT2021_test.csv): `ML-MATT-CompetitionQT2021_test.csv`
- [Predictions](https://github.com/habibaasaber/anomaly-detection-in-4g-cellular-networks/blob/main/test_predictions.csv): `test_predictions.csv`