Scikit Learn roc_curve, Explained
This tutorial will show you how to use the Scikit Learn roc_curve function. It will explain the syntax of the function and show an example of how to use it....continue reading.
This tutorial will show you how to use the Scikit Learn roc_curve function. It will explain the syntax of the function and show an example of how to use it....continue reading.
In machine learning, evaluating the performance of a model is as important as its creation. We need tools and techniques to help guarantee that the model performs well and meets...continue reading.
The confusion matrix is an important and commonly used tool in machine learning. This is particularly true of classification problems, where we build systems that predict categorical values. Because they’re...continue reading.
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...continue reading.
With the rise of AI, machine learning has suddenly become very popular. Machine learning has been around for decades, but machine learning systems are becoming increasingly important in a range...continue reading.
The Perceptron stands as one of the most basic building blocks for creating neural networks, including more advanced structures like deep networks and their variants. Originally developed in the late...continue reading.
Unless you’ve been living in cave somewhere in remote Eurasia, you should know that deep learning is very popular, and very powerful. A variety of tools from self driving cars...continue reading.
One of the the questions that I get over and over is, which data science language do I use? I have my own preferences with regards to programming languages, but...continue reading.
Obviously, AI taken off in the last year in ways that were hard for most people to predict. AI went from being a somewhat niche technical subject that nerdy guys...continue reading.
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...continue reading.
A few days ago, I was writing some code for a new machine learning course that I’m building, and I had a somewhat tricky problem to solve. As I’ve said...continue reading.
AI is turning the tech world upside-down right now. With the release of large-language systems like Chat-GPT and various coding copilots, many people are questioning the value of a tech...continue reading.
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...continue reading.
In this tutorial, I’ll show you how to do some simple exploratory data analysis (EDA) for a machine learning project. In this tutorial, we’ll look at the Titanic dataset, which...continue reading.
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...continue reading.
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...continue reading.
Jesus. I just spent about an hour playing with GPT, asking it to write some Pandas code for me, and I want to set my computer on fire. Do you...continue reading.
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,...continue reading.
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...continue reading.
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...continue reading.