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Series
In this series, I'll be teaching machine learning algorithms from scratch. We'll be understanding the mathematics behind each algorithm and then implementing them in Python.
Overview Demystifying Machine Learning refers to the series of blogs in which I am going to explain the different algorithms of Machine Learning with behind the scenes mathematics and code implementation from scratch. This is an introductory article ...
Overview Linear Regression is the first algorithm in the Demystifying Machine Learning series and in this article we'll be discussing Linear Regression using Normal equation. This article covers what is Linear Regression, how it works, the maths behi...
Overview This is the second article of Demystifying Machine Learning series, frankly, it is basically the sequel of our previous article where we explained Linear Regression using Normal equation. In this article we'll be exploring another optimizing...
Overview Welcome to the 3rd article of the Demystifying Machine Learning series. In this article, we are going to discuss a supervised classification algorithm Logistic Regression, how it works, why it's important, mathematics behind the scenes, line...
Overview Welcome to the 4th article of Demystifying Machine Learning series. In this article, we'll be going to make our first project of prediction of cats or dogs from their respective images using Logistic Regression. We are going to use scikit-l...
