My Code Repository for Coursera Data Science Specialization by John Hopkins University
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Updated
Nov 29, 2021 - HTML
My Code Repository for Coursera Data Science Specialization by John Hopkins University
A tutorial R package for illustrating how to fit, evaluate, and report spectra-trait PLSR models. The package provides functions to enhance the base functionality of the R pls package, identify an optimal number of PLSR components, standardize model validation, and vignette examples that utilize datasets sourced from EcoSIS (ecosis.org)
Empirical analysis with financial data (MSFT stock returns) in R, with the goal to produce useful forecasts using univariate, multivariate time series models and volatility models.
Dashboard shiny page on COVID-19 in R
In this repository, we will share Rpubs work done by R-Ladies Tunis team https://rpubs.com/R-Ladies_Tunis
O objetivo central deste projeto consiste em desenvolver um modelo capaz de classificar novos clientes como potenciais compradores do produto "depósito bancário a prazo" a apartir da aplicação de um modelo de machine learning em uma base com informações sobre campanhas de marketing direto realizadas por uma instituição bancária portuguesa.
A repository which examines the latest earthquakes on Turkey. The project uses R as the script language.
This is a 2022 MonkeyPox visualization made to spread awareness about the virus, with the following graphs~ World View of Total Cases- This shows a comparison of cases in all countries for each day. Total Aggregated- This shows the total cases and the change of total cases for each day. Total Cases vs Hospitalized patients - Tells about the heal…
This repo contains my analysis on how rarity and condition influence the value of collectible coins. This Analysis was presented at the Oklahoma Research Day 2020.
Johns Hopkins University Bloomberg School of Public Health: Data Science Specialization Program: Reproducible Research Course Project Peer Assessment 2 repo: date created 60117: through Coursera
Interactive Data Visualisations
🌪️ 📊 The basic goal of this project is to explore the NOAA Storm Database and answer some basic questions about severe weather events.
Trained Random Forest model using R programming language for two problems; regression and classification based on the solar power generation that was compiled by Ph.D. candidate Alexandra Constantin.
R Flexdashboard: Complete project of ETL, cleaning, Dashboard. <interactive insights>
Practical Statistic Project- Car Emission in Canada - 2022
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