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.
The R Programming For Data Science A-Z Complete Diploma 2022 (Udemy Programs)
A collection of data analytics learning resources that I've found helpful (I only post what I've read!)
30 Days R Challenge
This repository contains files and data related to courses of Machine Learning and Statistics.
30 Days R Challenge
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.
This is a simple R function that uses the `httr` library to translate text using the Google Translate API.
Visualise avaocado sale across US by R Shiny
The task involves analyzing a dataset named "house-data.csv" from the perspective of classification, prediction, and validation using the R programming language.
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.
A repository having all my physics and math programs.
Fundamental data analysis with t-test of adult diets containing chocolate or not on R
Google Data Analytics capstone project using Chicago's Divvy bicycle sharing system public data from January to June 2023.
I love to study in online to develop my knowledge.
Created an R Shiny dashboard to communicate various KPIs and Metrics. The dashboard contains a linear regression model and a histogram (which can be adjusted by the end user). The dashboard also contains buttons that can be selected in the top right corner and a link to download the dataset.
Analysis of Food and Agriculture Data of Africa using Crop Processing Dataset and Crop Production Dataset.
Predicting user behaviour in a music streaming platform, NetEase Cloud Music (NCM), using machine learning and data analysis
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