R codes for common Machine Learning Algorithms
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Updated
May 26, 2017 - R
R codes for common Machine Learning Algorithms
High performance implementation of the Naive Bayes algorithm in R
Code to classify commits into maintenance activities
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…
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.
A collection of problems solved with machine learning algorithms, using R.
A Survey on ML Techniques for Airbnb Price Prediction
Six machine learning models for predicting bladder cancer progression using Caret package
Data Science Projects in R
One Data Set with multiple Algorithms
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
This script demonstrate the Naive Bayes concepts
Predicting the income level of a person given demographic data.
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…
Application of Naive Bayes and Linear Regression Models
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
Fake News analysis and prediction in R Script. Naive Bayes, Random Forest, SVM, NNET, ROC, Confusion Matrix, Accuracy, F1 score.
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