Abstract:
Day by day, humans change their way of life.
Eating habits are one of them. This research mainly focuses
on the eating food habits and nutritional status of the people
in Bangladesh. For a healthy and beautiful nation, food
habits must be appropriate. Just as good eating habits keep
our body healthy and energetic, bad eating habits make us
sick. For this research, A data set is gathered on eating
habits to find and learn about the food tastes of the people.
Collected 1200 statistics from human’s everyday meals
habits. Split the data into breakfast, lunch, snack, street
food, dinner, and sweets. This research target is to provide
the best knowledge about nutrition on food habits because it
is quite difficult to develop a country without a healthy
nation. This research is divided into two steps. (i) finding
food habits (ii) synthesizing information and finding
nutrition. An annotated reference list is included for ease i s
finding another helpful guideline. For this research, seven
different types of machine learning algorithms such as
Decision Tree, KNN ADA boosting classifier, Logistic
Regression, Bagging Classifier, Gaussian Naive Bayes, Extra
Trees Classifier have been applied.