Collection of various algorithms implemented in R.
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Updated
Mar 12, 2024 - R
Collection of various algorithms implemented in R.
📖An interactive companion to the well-received textbook 'Introduction to Econometrics' by Stock & Watson (2015)
Easy Handling Discrete Time Markov Chains
Useless R Functions. That's it
A set of projects I worked on as part of my PG Diploma in Data Science Program
This R package connects the Salesforce APIs from R using tidy principles.
Basic statistical modelling examples.
ChIP-seq/RNA-seq analysis software suite for gene expression heatmaps
DataScienceGO 2018 - Machine Learning Workshop
Repositorio en el que se desarrollará el código de las prácticas de la asignatura "Fuentes de Datos Biomédicos y Web Semántica de la UBU"
using the Inverse-Transform method to speed up options pricing simulations in R
The objective of the project was to create innovative and interactive Tableau dashboards that focus on potential commodities, countries, year, trade amount and quantity. The client wanted to launch a new business unit, focusing on global trade and logistics, majorly in the countries such as USA, Canada and Australia The dataset provided by the c…
R Package to create and manage ChatGPT Images
Explore your activity on YouTube with R: How to analyze and visualize your personal pata history. Find out how you consume YouTube using a copy of your personal data from Google Takeout.
The project aims to perform various visualizations and provide various insights from the considered Indian automobile dataset by performing data analysis that utilizing machine learning algorithms in R programming language.
Auto ML for the tidyverse
Using R and machine learning to build a classifier that can detect credit card fraudulent transactions.
Learn R in simple and easy steps starting from basic to advanced concepts with examples. If you are trying to understand the R programming language as a beginner, this tutorial will give you enough understanding on almost all the concepts of the language from where you can take yourself to higher levels of expertise.
🌍 This repository hosts an in-depth analysis of COVID-19's impact across five key countries from Jan 2020 to Dec 2021. Through advanced data analysis and visualization, we aim to provide insights into how the pandemic evolved differently across these nations, shedding light on the effectiveness of various health measures and vaccination campaigns.
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