Publications by Business Science
How to Make Mobile Apps with R Shiny
Hey guys, welcome back to my R-tips newsletter. It’s no secret that modern businesses run on mobile apps. Today, I’m going to share how to turn your R Shiny web apps into Mobile-First business applications. Table of Contents Here’s what you’re learning today: What is shinyMobile? You’ll discover what is is and why use it versus Shiny How...
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How to Scrape PDF Text and Summarize It with OpenAI LLMs (in R)
Hey guys, welcome back to my R-tips newsletter. Businesses are sitting on a mountain of unstructured data. The biggest culprit is PDF Documents. Today, I’m going to share how to PDF Scrape text and use OpenAI’s Large Language Models (LLMs) to summarize it in R. Table of Contents Here’s what you’re learning today: How to scrape PDF Document...
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XGBoost: Tuning the Hyperparameters (My Secret 2 Step Process in R)
Hey guys, welcome back to my R-tips newsletter. For years, I was hyperparameter tuning XGBoost models wrong. In 3 minutes, I’ll share one secret that took me 3 years to figure out. When I did, it cut my training time 10X. Let’s dive in. Table of Contents Here’s what you’re learning today: My big mistake I’ll explain what I was doing wron...
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Introduction to Time Series Analysis (with applications in R)
Hey guys, welcome back to my R-tips newsletter. Time series analysis has been critical in my career. But it took me 3 years to get comfortable. In today’s R-Tip, I’ll share 3 years of experience in time series in 3 minutes. Let’s go! Table of Contents Here’s what you’re learning today: What is Time Series Analysis? I’ll explain what ti...
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Data Engineering in R: How to Build Your First Data Pipeline with R, Mage, and Google Cloud Platform (in under 45 Minutes)
Hey guys, welcome back to my R-tips newsletter. In today’s R-Tip, Arben Kqiku is sharing his exact 8-step framework for taking R into production for Digital Analytics projects. You’ll learn how to use R, Mage.ai, and Google Cloud Platform (GCP) to build your first data engineering pipeline in under 45 minutes. About the Author Arben is a digita...
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Introducing Pytimetk: Time Series Analysis in Python
Hey guys, welcome back to my R-tips newsletter. I’m deviating from the normal R post to talk about a new Python package (available on my Python Newsletter). Sounds weird, but it’s actually aimed at helping R users do time series analysis in Python. It’s a port of my R package timetk thats been downloaded over 2,000,000 times. And I’m excite...
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ChatGPT: How to use ChatGPT to make a Shiny App (an Excel Analyzer)
Hey guys, welcome back to my R-tips newsletter. In today’s R-Tip, I’m sharing the cheat code to making an R shiny web app that automatically analyzes your Excel Files. Plus, I’m sharing exactly how I made it in under 15 minutes. AND how you can do it for ANY company. Let’s go! Table of Contents Today I share how to automate Google Sheets wi...
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Top 9 R packages (that every Data Scientist must know)
Hey guys, welcome back to my R-tips newsletter. In today’s R-tip, I’m sharing the top 9 R packages that I use almost every day… You’re getting the cheat code to learning these R packages. Plus, I’m sharing a 200 lines of R code that shows how you can use my 9 R code templates for ANY company. Let’s go! Table of Contents Today I share ho...
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ChatGPT: How to automate Google Sheets in under 2 minutes (with R)
Hey guys, welcome back to my R-tips newsletter. In today’s R-tip, I’m sharing a super common data science task (one that saved me 20 hours per week)… You’re getting the cheat code to automating Google Sheets. Plus, I’m sharing exactly how I made this automation in under 2 minutes. AND how you can do it for ANY company (using ChatGPT and R...
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How to make Data Visualizations THAT GO VIRAL (with ggplot2 in R)
Quit “storytelling with data”. There’s a reason your data visualizations aren’t working. Hear me out. If you’re a data scientist or data analyst who wants to get an executive to stop from looking at his phone and to start looking at your slide deck OR someone on LinkedIn to stop mindlessly scrolling and start reading your post, then this ...
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