Sistem analisa tingkat pemahaman pembelajaran siswa SMK menggunakan algoritma C.50 & decision tree pada masa covid-19

Through this research, we are able to model a student’s final grade in a particular subject and link it directly to certain relevant features that influence the outcome. We use the C5.0 decision tree technique to model the data.

91% covid app to predict risk factor for covid-19

c5.0 with sklearn

Predict which of two different computer brands that customers tend to prefer.

Data set featuring single English words read by speakers from six different countries for accent detection and recognition.

Data science implementation for academic success prediction using C4.5 and Random Forest algorithms.

R package to derive probability that any two food items are the same

This repository houses small projects (R and Python) exploring Machine Learning methods and algorithm description & implementation. Larger ML projects are housed in the Projects Repo.

predict length of stay in a hospital - 1 Day Project

Credit risk analysis: based on the number of family dependents and the duration of the month's loan, classify the credit rating or risk rating using the decision tree method (C50 with R).