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
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
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
If you’ve been reading the Sharp Sight blog for a while, you’ll know that I’m a big fan of elite performers: Navy SEALs, elite athletes, grandmaster chess players, etcetera. I like to research how elite performers operate, because I want to find what makes them special. The techniques. The training methods. The mindsets. In particular, … Read more
Readers at the Sharp Sight blog will know that I put a lot of emphasis on data manipulation. You’ve heard me repeat the stat many times: 80% of your work as a data scientist will be data manipulation. Although there is a little nuance to that statement, roughly speaking, it’s true. A lot of your … Read more
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. The tutorial is organized into sections, so if you need something specific, you can click on any of the following links. Table of Contents: Introduction … Read more
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
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 of fields, from healthcare, to finance, to marketing. Python, with a range of libraries for data science and ML, has arguably become the top language … Read more
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 in the past, Pandas code (and data manipulation more generally) is very important for machine learning. Not just for wrangling your data into the proper … 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