By eScience Fellow Eduard KlapwijkThis year I was finalizing and publishing one of my own research projects. My coauthors and I took many steps to make the project as reproducible as possible.Because I am setting up a codecheck workflow to check the re... Continue reading: My experience of getting codechecked ..read more

The post Best Prompt Engineering Books appeared first on Data Science Tutorials Unravel the Future: Dive Deep into the World of Data Science Today! Data Science Tutorials. Best Prompt Engineering Books, Prompt engineering is a rapidly growing field that focuses on crafting high-quality input prompts to elicit accurate and informative ... Continue reading: Best Prompt Engineering Books ..read more

According to the simulation results, MicroStrategy has had a positive trend with less volatility for the last ten years compared to AMAZON, which has had a negative trend with high volatility. Source code: Continue reading: Amazon vs. MicroStrategy ..read more

IntroductionIn the world of data analysis and statistical computing, R stands out as a powerful and versatile language. Its ability to handle complex data operations with ease makes it a favorite among data scientists, statisticians, and researchers. A... Continue reading: Basic Data Structures in R: Vectors, Matrices, and Data Frames ..read more

The post Understanding Machine Learning and Data Science appeared first on Data Science Tutorials Unravel the Future: Dive Deep into the World of Data Science Today! Data Science Tutorials. Understanding Machine Learning and Data Science, In today’s digital age, the terms “Machine Learning” and “Data Science” have become buzzwords, ... Continue reading: Understanding Machine Learning and Data Science ..read more

In the late 1970’s, people at Bell Laboratories designed the S programming language in order to facilitate interactive exploratory data analysis (Chambers 2016). Instead of writing, compiling, scheduling, and interpreting the output of individua... Continue reading: Use of non-API entry points in data.table ..read more

Loading and Exploring a Tidy Tuesday Dataset One of my New Year’s resolutions was to become less of a lurker and more of a doer within the Tidy Tuesday community. There had been one dataset that I was super interested in exploring, based on Dem... Continue reading: Using gganimate and ggflags to look at democratic progress ..read more

In our previous post, Examining Meta Analysis, we contrasted a frequentist version of a meta analysis conducted with R’s meta package with a Bayesian meta analysis done mostly in stan using the rstan package as a front end. We did this to hint a... Continue reading: Bayesian Meta-Analysis with brms ..read more

In this post, Giles outlines a simple approach that can be used to identify potential 'data gaps' using R. Data gaps are assumed to denote the difference between the data required to achieve an outcome and the currently data available. To demonstrate how the methodology might be applied, the availability ... Continue reading: Identifying data gaps with R ..read more

Setup library(tidyverse) # As always library(brms) # For Bayesian modeling library(tidybayes) # For visualization library(patchwork) Introduction Ever since I’ve finished my grad studies (Few months ago), I wanted to experiment with so... Continue reading: US Presidential Elections – A Bayesian Perspective ..read more