Udemy – Linear Algebra and Feature Selection in Python 2021-12

Published on: 2022-10-13 09:02:26

Categories: 28

Description

Linear Algebra and Feature Selection in Python is a training course on linear algebra and feature selection in the Python programming language, published by Udemy Academy. Linear algebra and feature selection are two very important and basic topics to start machine learning. These two topics form the theoretical and practical foundations of machine learning and are very important. By learning these two topics, machine learning will become easier and more conceptual for you, and you will make a meaningful connection with the nature of a huge part of this important science. Linear algebra is one of the most important branches of algebra in the field of computer science and programming, and it is possible to trace this important knowledge in data science, machine learning, deep learning, data analysis and analysis, engineering and software development, and Statistics clearly observed.

All algorithms used in machine learning are based on linear algebra, and by learning algebra, you can easily optimize your algorithms.

What you will learn in Linear Algebra and Feature Selection in Python

Familiarity with mathematics and its importance in the design and development of different machine learning models
Basic and advanced concepts of linear algebra
Solving linear equations in an advanced way
Determining the linear independence of a set of vectors
Calculation of eigenvalues and eigenvectors
Performing linear discriminant analysis (in English: Linear Discriminant Analysis, abbreviated as LDA)
Performing dimension reduction operations in Python programming language
Performing principal component analysis (PCA)
Comparing the performance of principal component analysis and linear differential analysis for classification with support vector machines (SVMs).
And …