c50

sawadogosalif/Machine_Learning_Journey

raghavm23/Analyzing-Student-Performance-Using-Data-Mining-Techniques

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.

apucontilde-zz/prediccion_lluvia

armandvalsesia/FoodC5

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

cordero-c-perez/Machine-Learning

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.

DavidLakeT/rocket

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

Jeff-Winchell/Hospital-Length-of-Stay

predict length of stay in a hospital - 1 Day Project

kbjornson/predicting-customer-preferences

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

NickRig7/Accent-Recognization-Decision-Tree

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

nshreyasvi/91-Accurate-Covid-Risk-Prediction-App

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

tetaniarizki/Credit_risk_analysis

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).

chhroot/gfg-c5.0-sklearn

c5.0 with sklearn