A popular supervised classification algorithm used within scikit-learn is Support Vector Machine (SVM) SVM works by finding a hyperplane (a decision boundary) that separates data points from different classes. It does this by maximizing the distance (margin) between the hyperplane and the nearest data points from each class, which are called support vectors If you […]
SKLearn Naive Bayes
In this Machine Learning lesson we are going to explore the Naive Bayes. An algorithm that is commonly used within Sci-kit learn. It’s a quite simple algorithm to use and we will practice using it on a dataset predicting if a concert sells out. Before we jump into this lesson though, I did want to […]
SKlearn Multiple Linear Regressions
This beginner Scikit-learn lesson will cover multiple linear regressions. This is when there is a relationship between the target (dependent variable) and two or more features (independent variables). If you’d like to watch a video that this tutorial is based on, it’s embedded down below. https://youtu.be/R2Zb5s_RrDU Let’s start by importing in everything we need for […]