https://github.com/ayberkyavuz/body_type_estimator
This repository is a tutorial for all levels who want to learn how to develop end to end machine learning system.
https://github.com/ayberkyavuz/body_type_estimator
backend classification css data-analysis dataset end-to-end flask flask-application frontend html javascript machine-learning machine-learning-application material-design materializecss pandas python tutorial webapp xgboost
Last synced: about 2 months ago
JSON representation
This repository is a tutorial for all levels who want to learn how to develop end to end machine learning system.
- Host: GitHub
- URL: https://github.com/ayberkyavuz/body_type_estimator
- Owner: AyberkYavuz
- Created: 2021-07-20T12:05:52.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2021-08-26T09:15:42.000Z (over 3 years ago)
- Last Synced: 2025-02-01T23:15:27.988Z (4 months ago)
- Topics: backend, classification, css, data-analysis, dataset, end-to-end, flask, flask-application, frontend, html, javascript, machine-learning, machine-learning-application, material-design, materializecss, pandas, python, tutorial, webapp, xgboost
- Language: Python
- Homepage:
- Size: 9.61 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# body_type_estimator
This repository is a tutorial for all levels who want to learn how to develop end to end machine learning system.
## Machine Learning Dataset Details
[Dataset Source](https://archive.ics.uci.edu/ml/datasets/Estimation+of+obesity+levels+based+on+eating+habits+and+physical+condition+)
[Dataset Details](https://www.sciencedirect.com/science/article/pii/S2352340919306985?via%3Dihub)
## Project Structure
```bash
body_type_estimator/
├── core
│ ├── __init__.py
│ ├── decorators.py
│ ├── file_handler.py
│ ├── machine_learning_handler.py
│ └── visualizer.py
├── helpers
│ ├── __init__.py
│ ├── application_helpers.py
│ └── pandas_dataframe_helpers.py
├── machine_learning_data
│ ├── body_type_estimation_data.csv
│ ├── body_type_estimation_data_selected_columns.csv
│ └── ObesityDataSet_raw_and_data_sinthetic.csv
├── models
│ ├── base_xgboost_model.pickle
│ ├── base_xgboost_model_with_selected_features.pickle
│ └── NObeyesdad_label_encoder.pickle
├── static
│ ├── css
│ │ └── materialize.min.css
│ ├── fonts
│ │ └── roboto
│ │ ├── Roboto-Bold.woff
│ │ ├── Roboto-Bold.woff2
│ │ ├── Roboto-Light.woff
│ │ ├── Roboto-Light.woff2
│ │ ├── Roboto-Medium.woff
│ │ ├── Roboto-Medium.woff2
│ │ ├── Roboto-Regular.woff
│ │ ├── Roboto-Regular.woff2
│ │ ├── Roboto-Thin.woff
│ │ └── Roboto-Thin.woff2
│ ├── img
│ │ ├── machine-learning.png
│ │ └── webapp.png
│ └── js
│ ├── initialize_form_components.js
│ ├── materialize.min.js
│ └── server_request_handler.js
├── templates
│ └── main_page.html
├── create_exploratory_data_analysis_html_file.py
├── data_transformation_for_machine_learning_model_training.py
├── feature_selection.py
├── README.md
├── web_application_backend.py
├── xgboost_base_model_creator.py
└── xgboost_base_models_comparison.py
```
## Project Tutorial Video
[Body Type Estimator Project Tutorial](https://www.youtube.com/watch?v=QwGwMftjUYI&ab_channel=AyberkYavuz)