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Today we’ll revisit our Outlier or Caitlin Clark? data science project by examining the differences between Ridge Regression and our previously-trained Ordinary Least Squares (OLS) linear regression model. This is the ninth part of a series that walks through the entire process of a data science project - from initial... [Read More]

Today we’ll look into how a QR code is created using Python and the powerful Pillow library. Then, we’ll learn how to transform a logo (or any other image) into a customized QR code using the Segno library. [Read More]

Today we’ll break down the highlights of 2024 - from starting my own business to attending local conferences. We’ll cover new writing projects, interesting conferences and events (both local and online), supportive coding communities, continuous learning opportunities, as well as attainable goals for 2025. [Read More]

Today we’ll wrap up the basics of machine learning by examining how to evaluate the performance of our linear regression model. This is the eighth part of a series that walks through the entire process of a data science project - from initial steps like data acquisition, preprocessing, and cleaning... [Read More]

Today we’ll expand on the basics of machine learning and examine how to train a linear regression machine learning model. This is the seventh part of a series that walks through the entire process of a data science project - from initial steps like data acquisition, preprocessing, and cleaning to... [Read More]