In this tutorial, I’ll show you how to use the Sklearn Logistic Regression function to create logistic regression models in Python. I’ll quickly review what logistic regression is, explain the syntax of Sklearn LogisticRegression, and I’ll show you a step-by-step example of how to use the technique. If you need something specific, just click on … Read more
A couple of days ago, I wrote a blog post about how GPT writes bad Pandas code. If you’ve been reading at the blog for a while, you’ve probably realized that I have mixed feelings about AI code generators. On one hand, they can save you lots of time by writing large amounts of code … Read more
I have a confession. I’m an American, and I was raised an American. But, I’ve been semi-nomadic for almost 10 years. A “digital nomad.” That is, I’ve lived in many countries around the world since about 2014 (although, I also lived a substantial amount of time in Austin, Texas during the last 10 years). I’m … Read more
For years, people have been talking about the era of “big data.” The data deluge. As early as 2010, The Economist wrote about how “quantity of information in the world is soaring.” Now 13 years later, businesses have still struggled to keep up with the volume of data. This has been great for the data … Read more
I’ll never forget what my manager said to me. “Do you need me to break down some doors? Do you need me to flip over some tables?” He was talking as if we were going to war. We’ll call him Taylor. He was my manager at one of my first data science jobs, at a … Read more
Unless you’ve been living in a secluded hut on the side of a remote mountain in Nepal, you’ve probably heard major chatter about AI in the last few months. First, we had GPT-3 back in late 2022. Then, we got AI-generated images with tools like Stable Diffusion. Now, just yesterday, OpenAI released GPT-4, a multimodal … Read more
Recently, I wrote a blog post stating that I’m starting to use Python for most of my data science work. And I’m starting to recommend Python as the data science language to use for most beginners. But is it always best? No. As always, it depends: As I like to ask people: “Who are you … Read more
There are multiple data science languages to choose from. The most popular being R and Python. Many people will tell you to learn both. Learn R AND Python. I think this is probably terrible advice. Let’s discuss why. “Learn Them Both” And Other Bad Ideas There are multiple data science languages that are available to … Read more
The first question that aspiring data scientists ask me is “what is the best data science language … which should I learn.” And almost always, this is framed as a decision between R and Python. If you’re wondering which language you should learn first … And especially if you’re interested in artificial intelligence. Then keep … Read more
In this tutorial, I’ll show you how to use the Numpy transpose function. I’ll explain what the function does, how the syntax works, and I’ll show you step-by-step examples of how to use it. If you need something specific, you can just click on any of the following links. Table of Contents: Introduction Syntax Examples … Read more