Datacamp Portfolio Project Solutions-R Programming
Exercises From Book "Applied Predictive Modeling" by "Kuhn and Johnson (2013)"
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
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.
Hear All Solution In R Language
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.
K-means clustering on White wine dataset
Analysis of different Forecasting techniques on a time series dataset to forecast the number of tourists in Australia in R
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)
Characterization of Phytophthora spp. growth fitness.
Software written to automate the procces of "sustained" search/scraping on Twitter using R and the Twitter Developer API.
Fire Incident risk classification Data Mining project
Repository of supplementary materials and RStudio project for the paper on corpus-based approach to measuring constructional equivalence.
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
Getting and Cleaning Data Course Project: Cleaning Experimental Data
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