Hello there, how are you doing? Today I’m going to write about one of Python’s least known (and controversial) operator and the operator that made Guido Van Rossum step down from his position as BDFL (Benevolent Dictator For Life). I’ll go through how it works and what it performs briefly…

Machine Learning has a wide variety of dimensionality reduction techniques. It is one of the most important aspects in the Data Science field. As a result, in this article, I will present one of the most significant dimensionality reduction techniques used today, known as Principal Component Analysis (PCA). But first…

Hello to everyone. We’ve only seen Supervised learning algorithms in my prior articles. But today, we’ll go into our first Unsupervised learning algorithm. In this post, we will learn about K-means and begin with an example 2D dataset. …

Hey all, In this post, I’ll show you how to build a beginner-friendly framework for building neural networks in Python. The primary objective of this code is to help novices learn the fundamentals of neural networks. And we will recognize hand-written digits using Neural Networks. The neural networks will be…

“The neural network is this kind of technology that is not an algorithm, it is a network that has weights on it, and you can adjust the weights so that it learns. You teach it through trials.” — Howard Rheingold As a continuation of the series, we will look at…

After learning the fundamentals of regression, it’s time to learn the fundamentals of classification. And what could be simpler than Logistic Regression! It is recommended that you read this Linear Regression Tutorial before beginning this tutorial. This is a complete guide to Linear Regression, and Logistic Regression uses several ideas…

Understanding what happens behind the scenes of popular libraries like sci-kit for implementing various machine learning algorithms is one of the most difficult parts of any data scientist’s journey. So, I came up with yet another machine learning algorithm today.In this post, we’ll get insights into the method, code it…

Hello there, everyone. Today we are stepping into our first Supervised Learning algorithm. Linear Regression is the name of the game. In this post, we will code our algorithm and then use it as our prediction model. What is Linear Regression? Linear regression is a statistical supervised learning technique that uses one or more…

As a follow-up to my last about Machine Learning, in this post, I’ll talk about the different types of machine learning algorithms and how they can be used. This will help you get a better understanding of the different machine learning algorithms used today. Terms frequently used in this post: …