r-programming-projects

Exercises From Book "Applied Predictive Modeling" by "Kuhn and Johnson (2013)"

Analysis of different Forecasting techniques on a time series dataset to forecast the number of tourists in Australia in R

Datacamp Portfolio Project Solutions-R Programming

Hear All Solution In R Language

K-means clustering on White wine dataset

Characterization of Phytophthora spp. growth fitness.

Fire Incident risk classification Data Mining project

Software written to automate the procces of "sustained" search/scraping on Twitter using R and the Twitter Developer API.

A data science project applying supervised machine learning model, regularized regression, to identify features prospectively predicting non-suicidal self-injurious behaviors.

The R Programming For Data Science A-Z Complete Diploma 2022 (Udemy Programs)

StrangeR things: Visualizing Soccer Data with R… on a Soccer Pitch? How to analyze, visualize and report soccer data and strategies on a soccer pitch with the "ggsoccer" package

Probability and Statistics

Repository of supplementary materials and RStudio project for the paper on corpus-based approach to measuring constructional equivalence.

This project involves scraping cryptocurrency and stock price data in R. This data is then used to calculate daily returns, then use those daily returns to create a hierarchical cluster. Clustering investments based on their similarity or dissimilarity is a common portfolio management & optimization tool

Here are the topics talked about R tutorial in 1 YouTube video.

In this repo, I have the course contents of R Programming For Data Science training, which will be given to Sigorta Bilgi ve Gözetim Merkezi by the cooperation of Academy Peak Information Technologies Training and Consultancy between 21 - 23 March 2023.

Getting and Cleaning Data Course Project: Cleaning Experimental Data

A comprehensive R-based data analysis project that examines housing rental patterns across multiple cities, utilizing statistical methods and visualization techniques to analyze 4,746 properties' data points including rent prices, locations, and amenities. The project employs various R libraries to clean, process, and visualize rental market trends