Data Science Projects in R

R codes for common Machine Learning Algorithms

Designing and applying unsupervised learning on the Radar signals to perform clustering using K-means and Expectation maximization for Gausian mixture models to study ionosphere structure. Both the algorithms have been implemented without the use of any built-in packages. The Dataset can be found here: https://archive.ics.uci.edu/ml/datasets/ion…

Predicting the income level of a person given demographic data.

Predict subscription status for customers using Naive Bayes model

Code to classify commits into maintenance activities

One Data Set with multiple Algorithms

A research for customer retention prediction using different algorithm in R

Six machine learning models for predicting bladder cancer progression using Caret package

Machine learning project to distinguish between positive and negative reviews. Uses three classifiers: Naive Bayes, Support Vector Machine and Linear Regression Model.

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 …

Predict whether or not an employee will use Car as a mode of transport from given employee information about their mode of transport as well as their personal and professional details like age, salary, work exp. Also, which variables are a significant predictor behind this decision?

A Survey on ML Techniques for Airbnb Price Prediction

A collection of problems solved with machine learning algorithms, using R.

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.

SMS-Spam-Filtering Developed a classification algorithm to filter mobile SMS spam, mainly unwanted marketing advertisements, using the Naive-Bayes Algorithm

This script demonstrate the Naive Bayes concepts

SASTuit a free tool for sentiment analysis on Twitter, analyze the technological trends in this social media for the classification of tweets in Spanish as positive, negative and neutral using artificial intelligence. Developer by Anibal Armando Herrera Contreras