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.


Logistic Regression uses sigmoid function .

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.

Prerequisites :-

  • Linear Regression
  • Cost Function
  • Gradient Descent

If you are not familiar with these terms then consider going through this article:-

Fundamentals Of Machine Learning part 2- Linear Regression | by AKSHAY KUMAR RAY | Analytics Vidhya |…

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 :-

As we have mentioned it earlier Linear Regression is supervised learning algorithm that is used to predict…

What is machine learning ?

  • Online /shopping recommendation for movies/stuffs on Netflix or Amazon? Answer is Machine Learning.
  • Fraud Detection ? Answer is Machine Learning.
  • self-driving cars ? Answer is Machine Learning
  • Bank Loan Approval ? Answer is Machine Learning.

We don’t realize but we are living in a time where machine learning is doing…


Machine Learning Enthusiast

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