Machine Learning Project on Imbalanced Data in R
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Updated
Feb 24, 2018 - R
Machine Learning Project on Imbalanced Data in R
Application of Decision Tree C5.0, Random Forest, K-NN, Artificial Neural Network, Naive-Bayes algorithms in a Project using R
lung cancer prediction using naive bayes but without using in build function. This paper presents a novel predictive model employing Naive Bayes classification, trained on comprehensive patient data encompassing 23 attributes like Alcohol use, Smoking, Coughing of Blood, and shortness of breath etc. Our model demonstrates significant promise
Simple projects for data mining , machine learning using R
Applied several ML Algorithms
A dataset is taken from Kaggle and Naive Bayes algorithm is used to predict the salary of the employee
This script demonstrate the Naive Bayes concepts
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