Simple Linear Regression
Simple linear regression is the Supervised learning model. Used to find the relationship between one independent variable and one dependent variable. Such as the relationship between experience and salary, rainfall and grain yield, etc.
Fundamentals of Regression
What Is Regression in Machine Learning? Regression analysis is a statistical analysis model used in machine learning. It is used to model the relationship between dependent variables and one or more independent variables. The goal of the regression analysis is to find the best fit line or curve with minimum residual errors, and it is […]
Introduction To Machine Learning
Introduction In this series I am going to cover a bunch of Machine Learning algorithms and their explanation with real life examples. Using Python and SciKit-Learn. Prerequisites Basic core Python knowledge is required, also requires basic Pandas knowledge such as column selection, csv file reading functionalities. Before moving to the next step make sure you […]