In this article we are going to talk about a very famous machine learning algorithm that is used for classification as well as for regression.
‘Birds of a feather flock together’
KNN algorithm works on the assumption that data having similar inputs will have similar outputs. The KNN algorithm assumes…
Let’s dive in into the functioning of Logistic Regression and PLA.
Prerequisites :-
Linear Regression and Gradient Descent.
We have talked about linear regression which is useful for regression task. Logistic Regression is used for classification task , where the dependent variable only contains discrete values . Logistic Regression is…
In this article we are going to implement regularization techniques in linear models/regression.
If you are not familiar with these terms then consider going through this article:-
In this article we will implement linear regression from scratch and using sklearn library. If you haven’t checked the first article click on this link to get the overview of Machine Learning :-https://akprpa.medium.com/fundamentals-of-machine-learning-part-1-23b7931c67ae
As we have mentioned it earlier Linear Regression is supervised learning algorithm that is used to predict…
We don’t realize but we are living in a time where machine learning is doing…
