Code to classify commits into maintenance activities

This script demonstrate the Naive Bayes concepts

This project was conducted in my 3rd semester of Btech Data Science. Took a survey on home remedies from all kinds of people. We first cleaned our data and then predicted if one would prefer using home remedies or not using Naïve Bayes theorem in Excel as well as Python. Also tested a few hypotheses we made at the start of the project using z-te…

Customer Churn is a burning problem for Telecom companies. In this project, we simulate one such case of customer churn where we work on a data of postpaid customers with a contract. The data has information about the customer usage behavior, contract details and the payment details. The data also indicates which were the customers who canceled …

KNN, Naive Bayes and Trees - Wine UCI Dataset

Implementation of Naive Bayes algorithm for categorical data

Fit four different neural networks: (a) Two distinct single hidden layer neural networks. (b) Two distinct neural networks with two hidden layers. Compare the accuracy of these four Neural networks among them. Also compare it to other classification methods.

Imbalanced classification with loan clients dataset.

Naive Bayes using R

The data at hand is of flight satisfaction survey along with the customer flight information, the task at hand is to build a model that predicts satisfaction/dissatisfaction given the various attributes

Vežbe 6: Naivni Bajes

Predicting the income level of a person given demographic data.

Introduction to three machine learning models using the programming language R

Examples of some popular algorthms for solving problems in maschine learning

A Machine Learning project using R and RapidMiner to predict the possibility of customer churn using 6 different machine learning algorithms.

The repository contains several Jupyter notebooks, each of which covers a different machine learning project, such as sentiment analysis, image classification, and customer segmentation. You also have code examples and datasets included to help users understand and implement the projects themselves.

An r package that implements the naive Bayes classifier

Machine learning project for predicting movie ratings in Movielens data set. Naive with regularization method used. Created as a capstone project for Data Science HarvardX course.