# shanmukharam27/house-price-prediction architecture

> Architecture diagram of the GitHub repository shanmukharam27/house-price-prediction, generated by GitDiagram from its file tree, README and a sample of source files (last updated 2026-09-28). It is an AI-made overview: check details against the source.

- Interactive diagram: https://gitdiagram.com/shanmukharam27/house-price-prediction
- Repository: https://github.com/shanmukharam27/house-price-prediction

## Overview

This is an educational house-price regression project whose documented workflow runs sequentially in a Jupyter notebook: load the Kaggle data, explore and transform features, train and compare regressors, then predict prices and prepare a Kaggle submission. The notebook is the only apparent runtime entry point; the tree contains saved model artifacts and output directories. The workflow links and capabilities below come from the README; no notebook source was sampled, so implementation details and artifact usage cannot be verified.

Main entry points: [`notebooks/house_price_project_separated (1).ipynb`](https://github.com/shanmukharam27/house-price-prediction/blob/main/notebooks/house_price_project_separated%20(1).ipynb) (Model training), [`models`](https://github.com/shanmukharam27/house-price-prediction/tree/main/models) (Saved models), [`outputs`](https://github.com/shanmukharam27/house-price-prediction/tree/main/outputs) (Project visualizations)

## Diagram (Mermaid)

```mermaid
flowchart TD

subgraph group_data_prep["Data preparation"]
  node_notebook["Project notebook"]
  node_loading["Data loading"]
  node_eda["Exploratory analysis"]
  node_cleaning["Missing values"]
  node_outliers["Outlier detection"]
  node_features["Feature engineering"]
  node_transforms["Feature transforms"]
end

subgraph group_modeling["Modeling"]
  node_training["Model training"]
  node_validation["Cross-validation"]
  node_comparison["Model comparison"]
  node_importance["Feature importance"]
  node_artifacts["Saved models"]
end

subgraph group_results["Results"]
  node_prediction["Final prediction"]
  node_visualizations["Project visualizations"]
  node_submission["Kaggle submission"]
end

node_dataset["Kaggle house data"]
node_kaggle(("Kaggle"))

node_notebook -->|"runs"| node_loading
node_dataset -->|"loads"| node_loading
node_loading -->|"feeds"| node_eda
node_eda -->|"informs"| node_cleaning
node_cleaning -->|"feeds"| node_outliers
node_outliers -->|"feeds"| node_features
node_features -->|"feeds"| node_transforms
node_transforms -->|"feeds"| node_training
node_training -->|"evaluates"| node_validation
node_validation -->|"compares"| node_comparison
node_comparison -->|"analyzes"| node_importance
node_comparison -->|"selects"| node_prediction
node_prediction -->|"formats"| node_submission
node_submission -.->|"submits to"| node_kaggle
node_notebook -->|"generates"| node_visualizations
node_training -.->|"produces"| node_artifacts

click node_notebook "https://github.com/shanmukharam27/house-price-prediction/blob/main/notebooks/house_price_project_separated%20(1).ipynb"
click node_loading "https://github.com/shanmukharam27/house-price-prediction/blob/main/notebooks/house_price_project_separated%20(1).ipynb"
click node_eda "https://github.com/shanmukharam27/house-price-prediction/blob/main/notebooks/house_price_project_separated%20(1).ipynb"
click node_cleaning "https://github.com/shanmukharam27/house-price-prediction/blob/main/notebooks/house_price_project_separated%20(1).ipynb"
click node_outliers "https://github.com/shanmukharam27/house-price-prediction/blob/main/notebooks/house_price_project_separated%20(1).ipynb"
click node_features "https://github.com/shanmukharam27/house-price-prediction/blob/main/notebooks/house_price_project_separated%20(1).ipynb"
click node_transforms "https://github.com/shanmukharam27/house-price-prediction/blob/main/notebooks/house_price_project_separated%20(1).ipynb"
click node_training "https://github.com/shanmukharam27/house-price-prediction/blob/main/notebooks/house_price_project_separated%20(1).ipynb"
click node_validation "https://github.com/shanmukharam27/house-price-prediction/blob/main/notebooks/house_price_project_separated%20(1).ipynb"
click node_comparison "https://github.com/shanmukharam27/house-price-prediction/blob/main/notebooks/house_price_project_separated%20(1).ipynb"
click node_importance "https://github.com/shanmukharam27/house-price-prediction/blob/main/notebooks/house_price_project_separated%20(1).ipynb"
click node_artifacts "https://github.com/shanmukharam27/house-price-prediction/tree/main/models"
click node_prediction "https://github.com/shanmukharam27/house-price-prediction/blob/main/notebooks/house_price_project_separated%20(1).ipynb"
click node_visualizations "https://github.com/shanmukharam27/house-price-prediction/tree/main/outputs"

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_loading,node_eda,node_cleaning,node_outliers,node_features,node_transforms toneBlue
class node_training,node_validation,node_comparison,node_importance,node_artifacts toneAmber
class node_prediction,node_visualizations,node_submission toneMint
class node_dataset,node_kaggle toneIndigo
```

## Components

### Data preparation

- [Project notebook](https://github.com/shanmukharam27/house-price-prediction/blob/main/notebooks/house_price_project_separated%20(1).ipynb): `notebooks/house_price_project_separated (1).ipynb`
- [Data loading](https://github.com/shanmukharam27/house-price-prediction/blob/main/notebooks/house_price_project_separated%20(1).ipynb): `notebooks/house_price_project_separated (1).ipynb`
- [Exploratory analysis](https://github.com/shanmukharam27/house-price-prediction/blob/main/notebooks/house_price_project_separated%20(1).ipynb): `notebooks/house_price_project_separated (1).ipynb`
- [Missing values](https://github.com/shanmukharam27/house-price-prediction/blob/main/notebooks/house_price_project_separated%20(1).ipynb): `notebooks/house_price_project_separated (1).ipynb`
- [Outlier detection](https://github.com/shanmukharam27/house-price-prediction/blob/main/notebooks/house_price_project_separated%20(1).ipynb): `notebooks/house_price_project_separated (1).ipynb`
- [Feature engineering](https://github.com/shanmukharam27/house-price-prediction/blob/main/notebooks/house_price_project_separated%20(1).ipynb): `notebooks/house_price_project_separated (1).ipynb`
- [Feature transforms](https://github.com/shanmukharam27/house-price-prediction/blob/main/notebooks/house_price_project_separated%20(1).ipynb): `notebooks/house_price_project_separated (1).ipynb`

### Modeling

- [Model training](https://github.com/shanmukharam27/house-price-prediction/blob/main/notebooks/house_price_project_separated%20(1).ipynb): `notebooks/house_price_project_separated (1).ipynb`
- [Cross-validation](https://github.com/shanmukharam27/house-price-prediction/blob/main/notebooks/house_price_project_separated%20(1).ipynb): `notebooks/house_price_project_separated (1).ipynb`
- [Model comparison](https://github.com/shanmukharam27/house-price-prediction/blob/main/notebooks/house_price_project_separated%20(1).ipynb): `notebooks/house_price_project_separated (1).ipynb`
- [Feature importance](https://github.com/shanmukharam27/house-price-prediction/blob/main/notebooks/house_price_project_separated%20(1).ipynb): `notebooks/house_price_project_separated (1).ipynb`
- [Saved models](https://github.com/shanmukharam27/house-price-prediction/tree/main/models): `models`

### Results

- [Final prediction](https://github.com/shanmukharam27/house-price-prediction/blob/main/notebooks/house_price_project_separated%20(1).ipynb): `notebooks/house_price_project_separated (1).ipynb`
- [Project visualizations](https://github.com/shanmukharam27/house-price-prediction/tree/main/outputs): `outputs`
- **Kaggle submission**

### Other components

- **Kaggle house data**
- **Kaggle**

## Connections

- Project notebook → Data loading: runs
- Kaggle house data → Data loading: loads
- Data loading → Exploratory analysis: feeds
- Exploratory analysis → Missing values: informs
- Missing values → Outlier detection: feeds
- Outlier detection → Feature engineering: feeds
- Feature engineering → Feature transforms: feeds
- Feature transforms → Model training: feeds
- Model training → Cross-validation: evaluates
- Cross-validation → Model comparison: compares
- Model comparison → Feature importance: analyzes
- Model comparison → Final prediction: selects
- Final prediction → Kaggle submission: formats
- Kaggle submission → Kaggle: submits to
- Project notebook → Project visualizations: generates
- Model training → Saved models: produces