https://github.com/ayberkyavuz/machine_learning_based_calculator
This repository is a tutorial for beginners who want to learn how to develop end to end machine learning system.
https://github.com/ayberkyavuz/machine_learning_based_calculator
backend css end-to-end flask flask-application frontend html javascript jquery linear-regression machine-learning machine-learning-application machinelearning material-design materializecss pandas-dataframe python tutorial webapp
Last synced: about 2 months ago
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This repository is a tutorial for beginners who want to learn how to develop end to end machine learning system.
- Host: GitHub
- URL: https://github.com/ayberkyavuz/machine_learning_based_calculator
- Owner: AyberkYavuz
- Created: 2021-07-08T11:47:11.000Z (almost 4 years ago)
- Default Branch: master
- Last Pushed: 2021-07-14T15:26:53.000Z (almost 4 years ago)
- Last Synced: 2025-02-01T23:15:28.274Z (4 months ago)
- Topics: backend, css, end-to-end, flask, flask-application, frontend, html, javascript, jquery, linear-regression, machine-learning, machine-learning-application, machinelearning, material-design, materializecss, pandas-dataframe, python, tutorial, webapp
- Language: Python
- Homepage:
- Size: 948 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# machine_learning_based_calculator
This repository is a tutorial for beginners who want to learn how to develop end to end machine learning system.
## Project Structure
```bash
machine_learning_based_calculator
├── file_operations
│ ├── __init__.py
│ └── file_handlers.py
├── helpers
│ ├── __init__.py
│ └── application_helpers.py
├── machine_learning_data
│ ├── subtraction.csv
│ └── summation.csv
├── machine_learning_models
│ ├── subtraction_machine_learning_model.pickle
│ └── summation_machine_learning_model.pickle
├── static
│ ├── css
│ │ ├── materialize.min.css
│ │ └── style.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
│ └── js
│ ├── materialize.min.js
│ └── server_request_handler.js
├── templates
│ └── main_page.html
├── README.md
├── subtraction_model_creator.py
├── summation_model_creator.py
└── web_application_backend.py
```
## Usage
[Machine Learning Based Calculator Usage](https://www.youtube.com/watch?v=T8cUrrp0HFA&ab_channel=AyberkYavuz)
## Application Files Descriptions
### main_page.html
[main_page.html](https://github.com/AyberkYavuz/machine_learning_based_calculator/blob/master/templates/main_page.html)
is the web application's user interface.
### server_request_handler.js
[server_request_handler.js](https://github.com/AyberkYavuz/machine_learning_based_calculator/blob/master/static/js/server_request_handler.js)
is the javascript application which enables interactions between user interface and web application's backend.
### web_application_backend.py
[web_application_backend.py](https://github.com/AyberkYavuz/machine_learning_based_calculator/blob/master/web_application_backend.py)
is the web application's backend that renders main_page.html and serves trained summation machine learning model
and trained subtraction machine learning model as APIs.
### summation_model_creator.py
[summation_model_creator.py](https://github.com/AyberkYavuz/machine_learning_based_calculator/blob/master/summation_model_creator.py)
uses [summation.csv](https://github.com/AyberkYavuz/machine_learning_based_calculator/blob/master/machine_learning_data/summation.csv)
in order to produce [trained summation machine learning model](https://github.com/AyberkYavuz/machine_learning_based_calculator/blob/master/machine_learning_models/summation_machine_learning_model.pickle).
### subtraction_model_creator.py
[subtraction_model_creator.py](https://github.com/AyberkYavuz/machine_learning_based_calculator/blob/master/subtraction_model_creator.py)
uses [subtraction.csv](https://github.com/AyberkYavuz/machine_learning_based_calculator/blob/master/machine_learning_data/subtraction.csv)
in order to produce [trained subtraction machine learning model](https://github.com/AyberkYavuz/machine_learning_based_calculator/blob/master/machine_learning_models/subtraction_machine_learning_model.pickle).