# lakshmi-pennada/employee-attrition-prediction-using-machine-learning architecture

> Architecture diagram of the GitHub repository lakshmi-pennada/employee-attrition-prediction-using-machine-learning, generated by GitDiagram from its file tree, README and a sample of source files (last updated 2026-09-25). It is an AI-made overview: check details against the source.

- Interactive diagram: https://gitdiagram.com/lakshmi-pennada/employee-attrition-prediction-using-machine-learning
- Repository: https://github.com/lakshmi-pennada/employee-attrition-prediction-using-machine-learning

## Overview

This repository appears to be a small HR attrition analysis bundle: it contains a notebook, a CSV dataset, and a PDF summary. No README or source excerpts document how these artifacts relate, so the graph lists them without asserting that the notebook reads the CSV or produces the PDF.

## Diagram (Mermaid)

```mermaid
flowchart TD

node_analysis_notebook["Analysis notebook<br/>[Analysis.ipynb]"]
node_attrition_data["HR attrition data<br/>[HR_Attrition.csv]"]
node_summary_report["Summary report<br/>[Summary.pdf]"]

click node_analysis_notebook "https://github.com/lakshmi-pennada/employee-attrition-prediction-using-machine-learning/blob/main/Analysis.ipynb"
click node_attrition_data "https://github.com/lakshmi-pennada/employee-attrition-prediction-using-machine-learning/blob/main/HR_Attrition.csv"
click node_summary_report "https://github.com/lakshmi-pennada/employee-attrition-prediction-using-machine-learning/blob/main/Summary.pdf"

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_analysis_notebook,node_attrition_data,node_summary_report toneTeal
```

## Components

### Other components

- [Analysis notebook](https://github.com/lakshmi-pennada/employee-attrition-prediction-using-machine-learning/blob/main/Analysis.ipynb): `Analysis.ipynb`
- [HR attrition data](https://github.com/lakshmi-pennada/employee-attrition-prediction-using-machine-learning/blob/main/HR_Attrition.csv): `HR_Attrition.csv`
- [Summary report](https://github.com/lakshmi-pennada/employee-attrition-prediction-using-machine-learning/blob/main/Summary.pdf): `Summary.pdf`