Machine Learning | Multivariate Linear Regression

This is similar to linear regression but instead of having single dependent variable Y, we have multiple output variables. It may be written as,Y = XB + U ,where Y is a matrix with series of multivariate measurements (each column being a set of measurements on one of the dependent variables), […]

Machine Learning | Multiple Linear Regression

In the last post we learnt about Linear regression with one variable. The hypothesis function for it was: What if, we have more than one independent variables or features. Then our hypothesis function could be like: And our (y vs x plots) graphs would be like: As we could see, with more […]

Python Machine Learning Libraries

Python has several ML libraries but major libraries that are used are the following: Numpy: NumPy is a python library used for working with arrays. It also has functions for working in domain of linear algebra, Fourier transform, and matrices. Usage: Scikit-Learn: Scikit-learn is a Python module for machine learning built on top […]

Introduction to Machine Learning | Linear Regression

Machine Learning (ML) is the field of study that gives computers the ability to learn without being explicitly programmed. It is a subset of Artificial Intelligence (AI) — the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access […]