python

A collection of 30 posts

[Algorithms] - Multi class classification

[Algorithms] - Multi class classification

From Techopedia: Linear multiclass classification is a specific kind of targeted algorithm philosophy in machine learning and the field of structured prediction that uses both linear and multiclass methods. A multiclass classification is

[Algorithms] - Support Vector Machines

[Algorithms] - Support Vector Machines

A support vector machine (SVM) is a supervised machine learning model that uses classification algorithms for two-group classification problem. Compared to newer algorithms like neural networks, they have two main advantages: higher speed

[Algorithms] - Logistic Regression

[Algorithms] - Logistic Regression

Logistic Regression is a Machine Learning classification algorithm that is used to predict the probability of a categorical dependent variable. In logistic regression, the dependent variable is a binary variable that contains data

Ridge, Lasso, and Polynomial Linear Regression

Ridge, Lasso, and Polynomial Linear Regression

Ridge Regression Ridge regression learns , using the same least-squares criterion but adds a penalty for large variations in parameters. The addition of a penalty parameter is called regularization. Regularization is an important concept

Feature normalization

Feature normalization

Before writing the next post about Algorithms, I thought it was important to talk first about feature normalization, as it will be relevant in almost all algorithms moving forward. Some of the algorithms