Using Machine Learning in predicting customer churn from bank credit card services
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Updated
Jun 4, 2024 - R
Using Machine Learning in predicting customer churn from bank credit card services
NUS CS4220: Building a Weighted Gaussian Naive Bayes Model for prediction of gene essentiality in cancer cell-lines.
A Banking Dataset is taken from Kaggle and applied 3 of the most used naive bayes formulas to get the accuracy
Supplementary material to chapter 'Computational Sermon Analysis' in 'Predigtanalyse. Zugänge zu einer homiletischen Grundaufgabe' (2024)
An SMS spam classifier made using Naive Bayes classification algorithm on R
The program is written in R which analysis patient's health condition using sentiment analysis and classifies as exist, deteriorate and recover using machine learning algorithm - Naive bayes
An r package that implements the naive Bayes classifier
An r-shiny application that allows you to train and export a classification model based on Naive Bayesian
Analyze NASDAQ100 stock data. Used ARIMA + GARCH model and machine learning techniques Naive Bayes and Decision tree to determine if we go long or short for a given stock on a particular day
This Repository Contains R-Codes executed on various Datasets in RStudio. I Hope This Repository is very helpful for those who are Willing to build their Career in Data Science, Big Data.
Data Science (Data preprocessing) along with machine learning where patients with digestive and kidney diseases are predicted using(kNN, Naïve Bayes , and Random Forest) classifiers in R Programming Language
A Naive Bayes Classifier and confusion matrix built for the Wisconsin Breast Cancer Database.
Machine Learning algorithms (Classification, Clustering, Regression) on Iris dataset in R
This is a rainfall prediction classification using R programming.
An efficient implementation of Naive Bayes Classifer with a novel feature selection criteria.
Application web R Shiny : Heart Disease Prediction
Implementation of Naive Bayes algorithm for categorical data
Classification of movie rankings
Classifying credit applicants with 9 different ML models
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