Intuitive explanations of the most popular machine learning models — For the past few years, I’ve compiled what I believed were the most important machine learning algorithms based on my experiences at work, my conversations with other data scientists, and what I read online. This year, I want to expand on last year’s article by providing more types of models…

A comprehensive guide to industry leading clustering techniques — K-means clustering is arguably one of the most commonly used clustering techniques in the world of data science (anecdotally speaking), and for good reason. It’s simple to understand, easy to implement, and is computationally efficient. However, there are several limitations of k-means clustering which hinders its ability to be a…

A newer and more effective approach — A New Perspective Two years ago, I wrote a similar article explaining how I’d learn data science if I could start over. Now that I’m four years into my career, which is double the amount of time, I’ve realized that there is a much better approach to learning data science. The problem with…

Awesome visualizations on the Ukraine War, Inflation, and more! — Last year I shared what I thought were ten of the best data visualizations from 2021. I’m back again with ten of the best data visualizations from 2022! Similar to last year, I wanted to share a variety of types of data visualizations, and also ones that were relevant to…

Things move VERY quickly in the world of data science. In my career alone (the past ~4 years), I’ve had to learn several new, industry-leading tools like Prophet, dbt, and Dash Plotly. Being a data scientist means that you have to continuously learn new skills and tools to broaden your…

Learn from some of the world’s biggest data figures — For a chance to win an NVDIA RTX 3080 Ti Graphics Card, fill out this form, and subscribe or follow me on Medium! Introduction From my experiences, one of the best ways to learn and expand your knowledge in data science and AI is through the teachings of more experienced and…

Common mistakes to look out for in your career — Introduction One of the hardest things about working with data is dealing with the fallacies and biases that plague both the data itself as well as how we interpret the data. …

Expand your arsenal of data skills and tools with these visualizations — While everyone glorifies machine learning models and intricate neural networks, many forget the immense value that one can get from building a powerful data visualization. And I’m not talking about basic visualizations like line graphs and bar charts. In this article, I’m going to share with you five powerful data…

Learn from some of the biggest data science leaders — Be sure to SUBSCRIBE here to never miss another article on data science guides, tricks and tips, life lessons, and more! In order to stay up to date with the latest technologies and techniques, it’s important to habitually learn as a data scientist. …