19 || Sophomore || build crazy stuff
mentoring and posting snippets of my work
Dec 29, 2021 · 3 min read · 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...
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Dec 18, 2021 · 15 min read · 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...
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Dec 3, 2021 · 15 min read · 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...
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Nov 26, 2021 · 11 min read · 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...
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Nov 19, 2021 · 3 min read · 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 ...
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