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

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 :

Tip

Thanks to the Mankan site