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ObesityLearning

University project to predict the level of obesity of people in Colombia to train 1Amachine learning skills




About The Project

Built With


Python SciKItLearn Jupyter Kaggle

Getting Started

Prerequisites

Installation

Usage

Understanding our data

Our dataset was collected with surveys and used in this study.

Variable Question (in survey) value signification
Gender What is your gender? Female / Male Gender
Age what is your age? - Age
Height what is your height? - Height
Weight what is your weight? - Weight
family_history_with_overweight Has a family member suffered or suffers from overweight? Yes/No If member of family have overweight
FAVC Do you eat high caloric food frequently? Yes/No If people eat high caloric food frequently
FCVC Do you usually eat vegetables in your meals? Never/Sometimes/Always Frequency of vegetables eating
NCP How many main meals do you have daily? 1-2/3/>3 Number a meals/day
CAEC Do you eat any food between meals? No/Sometimes/Frequently/sometimes If poeple eat between meals
SMOKE Do you smoke? yes/no If people smoke
CH2O How much water do you drink daily? <1L/1-2L/>2L Quantity of water drinks/day
SCC Do you monitor the calories you eat daily? yes/no If people count calories eats
FAF How often do you have physical activity? NOT/1-2 days/2-4days/4-5days Number of days wuth physical activity/week
TUE How much time do you use technological devices such as cell phone, videogames, television, computer and others? 0-2/3-5/>5 Hours/days with technological devices
CALC how often do you drink alcohol? NOT/sometimes/Frequently/always Level of alcohol drinking
MTRANS Which transportation do you usually use? Automobile/Motorbike/Bike/Public Transportation/Walking Transportation that people use

Our reflexions (Wiki)

Contributors

Romain Audric

Contacts

Audric : linkedin

Romain : linkedin

License

Distributed under the MIT License. See LICENSE.txt for more information.

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