Make sure we are familiar with Cost/Loss function and Gradient, before you go thru this blog Gradient descent which we will also called Optimization. We have seen how to calculate Linear regression and also how to calculate accuracy.As we know to get best accuracy we are using Gradient descent by reducing slope and Intercept/error, LetsContinue reading “Simple Linear Regression with Stochastic Gradient Descent”
Category Archives: Machine Learning
correlation
In general correlation means the relation between two different entities will come under Bi varient analysys . In this blog we will discuss about below item. Co Variance correlation coefficient Coefficient of Variation Covariance: Covariance is a measure of how much two random variables/datasets vary together or When we want to understand the linearity betweenContinue reading “correlation”
Outliers treatment
An extreme value or low value compared to other observations is called Outliers or the observation that is very far from other observations. Parametric Machine Learning Algorithms are very sensitive with Outliers. But why? The first person who get affected with outliers is mean, all parametric machine learning will use mean,so It will impact ourContinue reading “Outliers treatment”
Data and Machine by viswateja 