Navigating Precision and Recall: A Practical Approach for Businesses

In the dynamic world of machine learning, businesses often find themselves in a delicate dance between avoiding false alarms and seizing every opportunity. Striking the right balance is where precision and recall metrics come into play. But not everyone is familiar with the two metrics. To make these metrics more approachable, I’m excited to introduce the Metrics Explorer Shiny app (deployed on shinyapps.io). This tool is designed to make business users a bit more comfortable around the confusion matrix and allow them to interactively explore how different precision and recall values impact real-world scenarios.

From Concept to Impact: Building and Launching Shiny Apps in the Workplace

I am excited to share that I will be presenting at posit::conf(2023) on Sep 19th in Chicago. Join me for my talk on From Concept to Impact: Building and Launching Shiny Apps in the Workplace. Do you find Shiny apps powerful but wonder what use cases might fit in your organization? Have you had a Shiny app idea but got stuck on where to start? Have you ever built a Shiny app but received much smaller traction than expected?

Shiny apps that every company could use

In this blog, we are taking a tour of several Shiny apps that can supercharge your data game. They’re like turbo boosts for your data management and analysis, making things speedier and more user-friendly. Note: the goal here is to showcase the possibilities and provide a minimal code example, therefore there wlil be minimal UI. Database Access Shiny App: Unlocking Data at Your Fingertips Accessing data from databases can be a cumbersome task, especially for non-technical users.

Work Automation with R: A journey of moving to open source

I’m excited to share that I will be speaking at Santander Data Conference on March 22nd about Work Automation with R: A journey of moving to open source. The path of Moving to open source is not filled with sunshine and rainbows, and it can be tricky to navigate. But with an automation project, things could be easier. In this talk, I will share the 4 key parts of the project that will solve the main pain points from moving to open source.

Use R for more than statistical analysis

We already know that R can handle a multitude of tasks, including data graphics, data wrangling, transformation, simulation, statistical analysis, and modeling. But did you know that you can also use R to: Create TikTok animations Solve everyday mysteries - like exploring NYC metro traffic Develop a “hit” game Address NLP problems with deep learning models Automate work processes If you’re interested in learning more, check out my talk for students at Weill Medical College of Cornell University.

Data Science Hangout

Join Rachael Dempsey and me for the RStudio Data Science Hangout next week (Thursday September 1st) @ 12pm EST! We will talk about managing R projects at work, building Data Science Career, and whatever else you want to discuss 😀. Hangout link Check out the recording on youtube.