MACHINE LEARNING APPROACH FOR LINEAR ALGEBRA









Abstract

This project we are planning to implement the mathematical concept using python that we will encounter in data science and machine learning career quite frequently. Three main pillars of machine learning model are Data, Machine Learning Module and training module. Machine learning and mathematics correlation are as follows; The concepts of linear algebra is used for developing algorithms in machine learning. It connects the Machine Learning algorithms to run on a huge number of dataset. Our project helps to understand the best way to get familiar with the concepts of Mathematics in Machine Learning Algorithm. Which helps to understand of mathematics is paramount and to enable to come up with machine learning solutions for the real world problems.


Modules


Algorithms


Software And Hardware