PinnedIs the Carnivore Diet For Real — Or Just Another Fad?If you’ve heard of an influencer lately on Instagram and TikTok nicknamed “The Liver King”, you’ve probably heard of the infamous…Mar 3, 2023Mar 3, 2023
PinnedNew Year’s Resolutions — Purposeful or a Waste of Time?Ah, yes — January is here upon us. A new year, a new start, and if you’re reading this, you’re probably screaming, “a new me!”Jan 24, 20231Jan 24, 20231
How Bayes’ Theorem Coincides with Machine LearningJust why is Bayes so naive?Mar 18, 2021Mar 18, 2021
Going Over Using K-Nearest NeighborsA quick debriefing on a really cool supervised learning algorithmMar 14, 2021Mar 14, 2021
Published inThe StartupAccuracy and F1 Score — The Better Choices for Evaluating Model SuccessDiscussing the two most useful metrics that are used to describe a model’s efficiencyMar 7, 2021Mar 7, 2021
Published inThe StartupPrecision and Recall — What Are the Differences?Precision and recall are two of the most fundamental evaluation metrics that we have at our hands.Feb 27, 2021Feb 27, 2021
Published inNerd For TechDifferent Methods of Feature Selection in Machine LearningHow to automate the process of selecting featuresFeb 20, 2021Feb 20, 2021
Derivatives are Confusing — So Here’s a 3 Minute ExplanationHooray for calculus!Feb 14, 2021Feb 14, 2021
Regression, Big O Notation, and Gradient Descent — How Are They All Related?A quick discussion on computational complexityFeb 7, 2021Feb 7, 2021
4 Ways to Normalize and Scale Features for Regression ModelingImprove your data to boost your regression resultsJan 31, 2021Jan 31, 2021
