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

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

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. 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

How to Use the Sklearn Logistic Regression Function

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

Sklearn make_classification, Explained

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

How to Use the Sklearn Linear Regression Function

In this tutorial, I’ll show you how to use the Sklearn Linear Regression function to create linear regression models in Python. I’ll quickly review what linear regression is, explain the syntax of Sklearn LinearRegression, and I’ll show you step-by-step examples of how to use the technique. If you need something specific, just click on any … Read more

How to Use Sklearn train_test_split in Python

In this tutorial, I’ll show you how to use the Sklearn train_test_split function to split machine learning data into a training set and test set. I’ll review what the function does, I’ll explain the syntax, and I’ll show an example of how to use it. If you need something specific, just click on the appropriate … Read more

How to Use the Sklearn Predict Method

In this tutorial, I’ll show you how to use the Sklearn predict method to predict outputs using a machine learning model in Python. So I’ll quickly review what the method does, I’ll explain the syntax, and I’ll show a example of how to use the technique. If you need something specific, just click on the … Read more

A Quick Introduction to the Sklearn Fit Method

In this tutorial, I’ll show you how to use the Sklearn Fit method to “fit” a machine learning model in Python. So I’ll quickly review what the method does, I’ll explain the syntax, and I’ll show you a step-by-step example of how to use the technique. If you need something specific, just click on any … Read more