Datacamp Portfolio Project Solutions-R Programming
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Updated
Jan 4, 2020 - Jupyter Notebook
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
Here are the topics talked about R tutorial in 1 YouTube video.
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
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
The R Programming For Data Science A-Z Complete Diploma 2022 (Udemy Programs)
A data science project applying supervised machine learning model, regularized regression, to identify features prospectively predicting non-suicidal self-injurious behaviors.
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.
While working on my joint paper 'Davenport constant for finite abelian groups with higher rank' (arXiv:2402.09999 [math.NT]) with Dr. Eshita Mazumdar, I used these R programs to get an idea initially how our calculated bounds for the r-wise Davenport constant were behaving as we considered more complicated and bigger group structures.
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