1. Most Active Data Scientists, Free Books, Notebooks & Tutorials on Github In this article, I’ve listed the most active data scientist on GitHub, so that you can follow & see what are they up to (especially projects). Before moving forward, check out this ~ 2 minutes video on students using Github! https://youtu.be/VzuBJTtwm3o Open Source Data Science — This repository encourages you…

1. Support-vector machine Given a set of training examples, each marked as belonging to one of two categories, an SVM training algorithm builds a model that assigns new examples to one category or the other, making it a non-probabilistic binary linear classifier (although methods such as Platt scaling exist to use SVM in…

1. Juicing out the Diabetes Patterns amongst Indians using Machine Learning The data indicates an increase of 266% in the population of diabetics is going to be witnessed by developing countries. The score of the training model was a magnificent 100% which means it classified all the elements correctly as is evident as a result of the confusion matrix. It can…

1. Exclusive Interview with 2x Kaggle Master Gilles Vandewiele! “I think one of the nice things about the data science field is that it is so multi-disciplinary and that anyone who aspires to become a data scientist can do so.” — Gilles Vandewiele Golden words! As a beginner in data science, this quote gives me a lot of hope…

Introduction In this blog post, I’ll be sharing functional, informative, and relevant content on data science from the internet amalgamated with my own knowledgeable insights on the topic “Linear Regression.” So, without further ado let’s get into it. 1. Linear Regression in Machine Learning (from Scratch !!) As per Wikipedia, Regression Analysis is defined as a set of statistical processes…

1. Master Natural Language Processing in 2022 with Best Resources As already mentioned earlier, Deep Learning is a subdomain of machine learning. It is far more generalized as it comes up with generalized predictions compared to traditional machine learning due to the introduction of Artificial Neural Networks or ANN. Practicing NLP with Deep Learning is an essential step to making…

Introduction In this blog post, I am going to talk about a powerful supervised learning algorithm that is often used in Machine Learning competitions. It is called the Decision Tree algorithm. It can be used for both classification & regression tasks. In this post, I will discuss the need for tree-based…

INTRODUCTION “How to find a job?” “When will I get a job?” If you are a fresher and straight-up graduate, this is one of the most recurring questions in your thoughts. Let’s be honest for a moment, finding a job especially as a fresher is not always what someone describes as…

Introduction In this blog post, I would like to continue my series on “building from scratch.” I will discuss a linear classifier called Logistic Regression. This blog post covers the following topics, Basics of a classifier Decision Boundaries Maximum Likelihood Principle Logistic Regression Equation Logistic Regression Cost Function Gradient Descent Algorithm …