## F1 Score, Explained

If you want to master modern machine learning and AI, one of the major sub-areas that you need to master is classification. Classification is one of the most important types of task in machine learning and AI. But mastering classification, in part, means mastering how to evaluate classification systems. Which in turn, means understanding the … Read more

## Pandas Melt, Explained

In this blog post, I’ll show you how to use the Pandas melt method. I explain what melt does, how the syntax works, and I’ll show you a simple example. If you need something specific, you can click on any of the following links: Table of Contents: Introduction Syntax Examples Frequently Asked Questions Having said … Read more

## Classifier Recall, Explained

Machine learning – and the related field of AI – will probably be worth millions of dollars for people who master these skills. But as I always tell my students: to master ML and AI, you need to master the basics. And part of “the basics” are evaluation metrics … … like classifier recall. This … Read more

## Classifier Precision, Explained

This blog post explains precision in classifiers and machine learning models. It will explain what precision is, the pros and cons of this metric, how to improve precision, and more. Table of Contents: A Quick Review of Classification Precision Basics Pros and Cons of Precision How to Improve Precision Alternatives to Precision If there’s something … Read more

## Sklearn confusion_matrix, Explained

Scikit-learn, which is affectionately known as sklearn among Python data scientists, is a Python library that offers a wide range of machine learning tools. Among these tools is the confusion_matrix function, which is indispensable when working on classification problems. So in this tutorial, I’ll show you how to use the sklearn confusion_matrix function. I’ll give … Read more

## Classification Accuracy, Explained

This blog post will explain classification accuracy. It will explain what accuracy is, the pros and cons of this metric, how to improve accuracy, and more. Table of Contents: A Quick Review of Classification Classification Accuracy Basics Pros and Cons of Accuracy How to Improve Accuracy Alternatives to Accuracy If you need something specific, you … Read more

## False Negative: What they are, Why They’re Bad, and 7 Ways to Fix Them

When you’re working with classification and detection systems, you’ll commonly hear the term “False Negative.” You might be asking, what is a False Negative? And if you’re a serious machine learning practitioner, how do you fix them? Well, if you’re asking yourself these questions, you’re in luck. In this tutorial, I’m going to explain all … Read more

## The 5 Python Skills You Need Before You Study Machine Learning

Machine learning is a very powerful skill. And machine learning is a valuable skill. According to Glassdoor, the average salary for a machine learning engineer is about \$140,000 in 2023. Mastering machine learning could increase your earning power a lot. The question is, how? What’s the best way to get started with machine learning? What … Read more