Various online & other resources for learning and improving skills in the R programming language
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Updated
Jun 5, 2023
Various online & other resources for learning and improving skills in the R programming language
This is a repository for resources completed as part of the Johns Hopkins University Data Visualization and Dashboarding With R Specialization.
🍽️ FoodClim: Simulating Food Yield Responses to Climate Change in NetLogo
A collection of data analytics learning resources that I've found helpful (I only post what I've read!)
A comprehensive report on global data career trends, analyzing salaries, popular programming languages, and industry challenges based on a survey of 630 professionals.
The R Programming For Data Science A-Z Complete Diploma 2022 (Udemy Programs)
A comprehensive R tutorial repository covering essential programming concepts and practical examples to help you master R programming
30 Days R Challenge
This is a repository for resources completed as part of the Duke University Statistics with R Specialization.
A template for reproducible R analysis projects
This repository contains files and data related to courses of Machine Learning and Statistics.
🧰 Utility Functions for NetLogo
30 Days R Challenge
A repository having all my physics and math programs.
I learnt from Google employees whose foundations in data analytics served as launchpads for their own careers. At under 10 hours per week, you can complete the certificate in less than 6 months.
This repository documents how data from three different publicly available databases (FIA DataMart, Climatology Lab, and USFS Insect & Disease Detection Survey) can be combined into one easily understandable data frame.
Visualise avaocado sale across US by R Shiny
🌎 Spatial Data Analysis Tools
CW Code and Dataset for SMDS module at Coventry University. Applied Nonlinear Regression and Bayesian Inference techniques to analyze MEG brain responses from a simulated neuromarketing experiment. The project demonstrates proficiency in modeling complex biological signals and estimating parameter uncertainty using Approximate Bayesian Computation
The task involves analyzing a dataset named "house-data.csv" from the perspective of classification, prediction, and validation using the R programming language.
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