In this article, we are going to understand the absolute fundamentals, along with intuitions of what K-Nearest Neighbours (K-NN) is all about. What is K-Nearest Neighbours ? K-NN, or K-Nearest Neighbours, is a supervised learning algorithm that can be used for Classification and Regression problems. What is classification ? You have 10 bottles of wines.…
Gather the patience and please read the post. It will really help you.
XGBoost is the current reigning king of machine learning models. But what is the underlying principle of the algorithm ? Well, here is my take at making it easy for one to understand, visualise, and slowly grasp the concept. Read on, to know more!
Aren't decisions important in life ? Well, they're essential in programming as well.
Can we add ? Can we subtract ? Can we perform operations in python ? Well, read on to know more!
My name is Donald Trump! Well, who assigns this to you ? Yes, someone. In programming, we have to assign values to something we like to call variables. Read to know more :)
You have no idea how long I have waited to have my own portal in order to share information, with one, and all. With a lot of patience, time, and effort, I’d like to begin my journey of being an open book, solving some of your problems, and in that process also learning a lot…