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diabetesdataset

This is a classification algorithm, K-Nearest-Neighbor, to predict whether a person has diabetes or not, based on a number of attributes, including: Pregnancies, Glucose, BloodPressure, SkinThickness, Insulin, BMI, DiabetesPedigreeFunction, Age, and Outcome is the target (0 does not have diabetes, 1 have diabetes)

habittracker

Habit Tracker App, using Dart, add the habits the user need to track, specify a name and color for each habit and the days they want to track on. With the option to add a reminder in a specific time and text, which will send notifications in the specified time and text in order to remind the user.

seedsdataset

This is a classification algorithm, K-Nearest-Neighbor, to predict the type of seed based on a number of attributes: A, P, C, LK, WK, A_Coef, LKG, and target which has 3 values (0, 1, 2),which refer to 3 types of seeds (Rosa, Kama and Canadian). Target 0 means it is a Rosa, target 1 means it is Kama, target 2 means it is Canadian.

simplesentimentanalysisproject

This is a simple sentiment analysis project using Java. With explanation of methods and objects.

sparql