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Support Vector Machines (SVMs) | Complete guide support vector machine algorithm - Python Ocean

Jan. 29, 2023, 7:10 p.m.

SVMs are a type of supervised learning algorithm that can be used for classification and regression tasks. The basic idea behind SVMs is to find a linear boundary (or hyperplane) that separates the data points of different classes in a high-dimensional feature space. The boundary is chosen so that …

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usman

Introduction to Decision Tree(with sklearn code)

Feb. 8, 2022, 5:34 p.m.

Decision tree algorithm is one of the most popular machine learning algorithms. It uses tree-like structures and their possible combinations to solve specific problems. It belongs to the category of supervised learning algorithms and can be used for classification and regression purposes. A deci…

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usman

An Introduction to Logistic Regression Pythonocean

Oct. 19, 2021, 1:47 p.m.

In this blog, we will talk about the basic concepts of logistics regression and what kind of problems it can help us solve. Logistic Regression is a ranking algorithm used to assign observations to a separate set of classes. Some examples of classification issues are email spam or not spam, online…

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usman

Linear Regression Using Gradient Descent Python

Aug. 26, 2021, 10:22 a.m.

Simple Linear regression is one of the simplest and is going to be first AI algorithm which you will learn in this blog.In statistics, a simple linear regression is a linear regression model with a single defining variable. That is, it relates to two-dimensional sample points with an independent va…

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