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 “carnivore” diet — for all of the wrong reasons. The Liver King, aka Brian Johnson, was recently slammed upon by purveyors of social media because he finally admitted that…Carnivore Diet12 min readCarnivore Diet12 min read
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!” The beginning of the New Year can often be a time for change. Within that change comes the constant, almost unbearable use of the word…Fitness8 min readFitness8 min read
Mar 18, 2021How Bayes’ Theorem Coincides with Machine LearningJust why is Bayes so naive? In this blog post, we’ll look at how to apply some of the theories for machine learning that are acquainted with Bayes’ theorem and foundational principles of Bayesian statistics. Classification problems are a natural implementation of Bayes’ theorem when you’re trying to predict a…Data Science2 min readData Science2 min read
Mar 14, 2021Going Over Using K-Nearest NeighborsA quick debriefing on a really cool supervised learning algorithm K-Nearest Neighbors, or KNN, is a supervised learning algorithm that can be applied on classification and regression problems. KNN is a distance-based classifier, which means it automatically implies that the closer two points are, the more identical they are. Euclidean…Data Science2 min readData Science2 min read
Published inThe Startup·Mar 7, 2021Accuracy and F1 Score — The Better Choices for Evaluating Model SuccessDiscussing the two most useful metrics that are used to describe a model’s efficiency In my most recent blog post, I went over two of the easier and more common metrics used to explore model performance in machine learning, precision and recall. …Data Science3 min readData Science3 min read
Published inThe Startup·Feb 27, 2021Precision and Recall — What Are the Differences?Precision and recall are two of the most fundamental evaluation metrics that we have at our hands. It’s imperative to compare your models to each other and pick the best fit models when performing tasks about classification. When you are estimating values in regression, it makes sense to speak about…Data Science4 min readData Science4 min read
Published inNerd For Tech·Feb 20, 2021Different Methods of Feature Selection in Machine LearningHow to automate the process of selecting features In data science, there are many different approaches to building features to model complicated relationships — although, this may sometimes be troublesome. …Data Science3 min readData Science3 min read
Feb 14, 2021Derivatives are Confusing — So Here’s a 3 Minute ExplanationHooray for calculus! You have probably heard about the central principle of mathematical functions if you have studied linear regression. You can articulate this with the following example — assume that you have used the number of bathrooms in a house as a predictor and the house rental price as…Derivatives3 min readDerivatives3 min read
Feb 7, 2021Regression, Big O Notation, and Gradient Descent — How Are They All Related?A quick discussion on computational complexity In this blog post, I will be exposing you to some of the complexity in computation in relation to OLS regression. You will read about this concept and see that this might not be the most powerful algorithm for estimating regression parameters while regression…Machine Learning3 min readMachine Learning3 min read
Jan 31, 20214 Ways to Normalize and Scale Features for Regression ModelingImprove your data to boost your regression results Normal features, or features that are as normally distributed as possible, will lead to better outcomes. This is what makes scaling and the normalization of features in regression modeling so significant. There are a number of ways to scale your features, and…Data Science3 min readData Science3 min read
