There are 10 repositories under rprogramming topic.
Collection of cheatsheets for data science, machine learning and deep learning :).
Extract census data from summary files with R
R Code Examples for Data Analytics
Movie Recommendation System: Project using R and Machine learning
A biggest collection of free books and other resources for R programming
"ltc_palettes: Tailored for data visualization enthusiasts, ltc_palettes is an R package that offers a curated collection of color palettes. Crafted to enhance clarity and impact, these palettes ensure that your visual representations not only communicate data effectively but also aesthetically
DAX Functions with Power BI
Collection of tweets from "R Function A Day" account
Solutions to "Advanced R" (2nd ed.) exercises (unofficial) 📖✍️
Supervised Machine Learning Classification Algorithms using Python and R (Logistic Regression, Decision Tree, Random Forest, SVM)
Project based on text mining:
Sentiment analysis for Ekşi Sözlük with R and Python.
Code for the tutorial on the Semi Collapsible Sidebar in Shiny
R Programlama Dili ile Veri Bilimi
List of mini projects done in R programming language to learn and master it
Workshop on HPC with Slurm, R, and the slurmR package
R package version of the Sick Sicker model originally developed by the DARTH group
R standalone. A light weight, standalone version of R Programming Language
Identify topics to be discussed against presidential candidates Joko Widodo and Prabowo Subianto after the 2019 General Election on the Twitter platform
R package delivered with jasp-desktop that simplifies developing and testing analyses
Portfolio Optimization App
Nowadays, the growth of data is increasing exponentially. The data can be obtained from several sources, such as internet. As the data analyst, our tasks are how to get the data, prepare, analyze, and interpret it. So, it's the tutorial how to obtain unstructured data from internet. Enjoy!!
Prepend Internal Package Function Names With a Dot
Random Walk Theory Applied to Live FX
Multivariate analysis is conceptualized by tradition as the statistical study of experiments in which multiple measurements are made on each experimental unit and for which the relationship among multivariate measurements and their structure is important to the experiment's understanding. For instance, in analyzing financial instruments, the relationships among the various characteristics of the instrument are critical
R Programming Practice For Data Science
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Analysis and Prediction of Customer Lifetime Value using R.The insights were then compiled into a report using R markdown.
R-Notes
A Basic Statistical Analysis of the ToothGrowth Dataset (The Effect of Vitamin C on Tooth Growth in Guinea Pigs)
Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.
surveydesignr package contains tools to support design and use of questionnaires programmed in XLSForm.