https://github.com/saeidemadi/scrapeformankan

This is a student project for a data mining course and is a simple exercise
https://github.com/saeidemadi/scrapeformankan

activity crawling csv dataset food linear-regression randomforestregressor spider spiderman webscraping

Last synced: about 1 year ago
JSON representation

This is a student project for a data mining course and is a simple exercise

• Host: GitHub
• URL: https://github.com/saeidemadi/scrapeformankan
• Owner: saeidEmadi
• License: gpl-3.0
• Created: 2024-06-09T03:48:51.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2024-06-17T13:08:29.000Z (almost 2 years ago)
• Last Synced: 2025-01-26T19:46:43.274Z (about 1 year ago)
• Topics: activity, crawling, csv, dataset, food, linear-regression, randomforestregressor, spider, spiderman, webscraping
• Language: Jupyter Notebook
• Homepage:
• Size: 1.84 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# scrape For Mankan

This is a student project for a data mining course and is a simple exercise

In this project, we have tried to extract data from a site using ``` web scraping ``` and ``` crawling ``` methods and create a data set.

And after cleaning and preparing the data set, we first analyze it and then use the obtained results to predict and guide users.

*You can easily calculate the amount of calories needed based on the amount of daily activity :*

  - **ridingBike**

  - **running**

  - **walking**

  - **cleaningUp**

    

*and foods that provide the same amount of calories to the body.*

## DataSet ![Mankan_dataset.csv](https://github.com/saeidEmadi/scrapeForMankan/blob/main/Mankan_dataset.csv)

This dataset contains useful information such as the amount of ```calories, protein, etc```. about foods and edibles

**This dataset has 1821 records and 11 columns**

| siteId | name | calory | carbo | protein | fat | fiber | activity1 | activity2 | activity3 | activity4 |

| ----------- | ----------- | ----------- | ----------- | ----------- | ----------- | ----------- | ----------- | ----------- | ----------- | ----------- |

The unit of columns is as :

- ` siteId ` : *Integer*

- ` name ` : *String*

- ` calory ` : *Kcal[kilocalorie]*

- ` carbo ` : *g[Gram]*

- ` protein ` : *g[Gram]*

- ` fat ` : *g[Gram]*

- ` fiber ` : *g[Gram]*

- `activity1 = ridingBike` : *m[Minute]*

- `activity2 = running` : *m[Minute]*

- `activity3 = walking` : *m[Minute]*

- `activity4 = cleaningUp` : *m[Minute]*

In this project, we use the following two models with the specified accuracy:

- `Linear regression`: *0.84*

- `RandomForestRegressor`: *0.87*

  

we have used **RandomForestRegressor** for prediction because is very accurate.

**Dataset Reference :** ![Mankan.me](https://www.mankan.me/)

> [!TIP]

> Thanks to the Mankan site