Portfolio of machine learning projects
-
Updated
Sep 12, 2018 - R
Portfolio of machine learning projects
Build a Predictive model to forecast the sales of Rossmann store and uploaded the project to the challenge put forth by Rossmann Store
Text Mining / data mining - model, GUI in R/shiny-app
This is a rainfall prediction classification using R programming.
A Naive Bayes Classifier and confusion matrix built for the Wisconsin Breast Cancer Database.
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
Naive Bayes, Confusion Matrix, and ROC Analysis were conducted using R to determine how different variables lead to a customer of a bank taking out a personal bank loan.
Naive Bayes Machine Learning Model
Implementation of Naive Bayes algorithm for categorical data
Predicted geo-location of 80,000 tweets based on just its contents by finding Location Indicative Words and achieved 74% accuracy
The project involves deciding on the mode of transport that the employees prefer while commuting to the office.
This script demonstrate the Naive Bayes concepts
Comparing Classification Methods. We will code some Discriminant Analysis Methods and compare them to Support Vector Machines (SVMs).
An efficient implementation of Naive Bayes Classifer with a novel feature selection criteria.
This repository contains various classification, clustering and data analysis code.
Building a predictive model for the given data set to test it on test data set
Add a description, image, and links to the naive-bayes-classifier topic page so that developers can more easily learn about it.
To associate your repository with the naive-bayes-classifier topic, visit your repo's landing page and select "manage topics."