中高生向け「データ分析入門」資料

Heroku R Docker Image - Makes deploying R on Heroku easy

Helpers for literature management as GitHub actions

Formal methods to study Prehistory iconography

R Programlama Dili ile Veri Bilimi

This repository contains the implementation of the research paper tVelloso, E., Bulling, A., Gellersen, H., Ugulino, W. and Fuks, H., 2013, March. Qualitative activity recognition of weight lifting exercises. In Proceedings of the 4th Augmented Human International Conference (pp. 116-123).

Intrusion Detection System using KDD CUP 99 dataset in R language

Empirical analysis with financial data (MSFT stock returns) in R, with the goal to produce useful forecasts using univariate, multivariate time series models and volatility models.

hello githubers this project is all about the analyzing movie using twitter api tweets in r predicting the result of movie using live tweets 2018

My Simplilearn Healthcare project

Building a sentiment analysis model to categorise words based on their sentiment. That is, whether the words are positive or negative and further analysis.

In this project, we performed an analysis of user patterns across the website and predicting the traffic of the webpage. This analysis would greatly help the hosts of the website to maintain the servers. We used many algorithms in order to analyze web traffic, which include ARIMA, STLM, BATS, Linear Regression, TBATS, out of which TBATs had perf…

This repository is about my first GRIP (Graduate Rotational Internship Program) task at The Sparks Foundation. The task is about prediction using the supervised machine learning technique in the R program.

Programske skripte vezane uz razne zadaće i projekte koje smo imali priliku raditi samostalno u sklopu kolegija na fakultetu. Ove zadaće i projekti rađeni su u programskom jeziku R.

Projects from Hands On Programming with R Notations - Slot Machine Coding and Notes

Package de R que automatiza algunas actividades

This repository is designed to provide a comprehensive introduction to R programming, tailored for data analysis and statistical computing. It includes a collection of tutorials, examples, and exercises that guide users through fundamental R concepts, data manipulation, visualisation, and advanced techniques.

Basics of data visualisation, exploratory data analysis, ggplot2 and case study.

R Codes

An example welcome RStudio IDE project