Introduction to NLP — Natural Language Processing (NLP) is a subset of machine learning in which we aim to train computers to understand human languages. The chatbot you see in a banking app, Siri on iPhone, or Google translator are examples of natural language processing. In the process of Natural Language Processing, we aim…

It’s great to be back. I had been away from Medium for more than six months, and I had a desire to return. For those who don’t know, on April 30th, I published my final article on Medium. Then I disappeared! The major reason for the sabbatical was that there’s…

Using the Random Forest Classifier model we will make a model that will predict whether a person will pay the dues on time (with source code). — As in one of my previous article, I have given you an introduction to . Now, Random Forest in this article, I’ll demonstrate how to build a Random Forest Classifer model using a few lines of code. Click on this link to learn more about the Random Forest model.

Using model Random Forest Regressor we would be making a Body Fat Prediction model which will predict the fat in a human body on the basis of few measurements — As in one of my previous article, I have given you an introduction to Random Forest. Now, in this article, I’ll demonstrate how to build a RFR model using a few lines of code. So let’s start The first step is we need to download the dataset and then apply…

My blogging journey and experiences till now — Hey everyone, nice to see you all again. I published my first article on Medium on June 7, 2021. And have now published 100 articles. In this article I want to tell you about the my journey and experiences,since I started blogging approximately 2 years ago. …

Boost your model accuracy with these simple steps — Model accuracy in machine learning refers to the measurements used to determine whether or not a particular model is the best to explain the relationship between the many problem variables. To train a model for new, unused data, we frequently employ training data. Why model accuracy is important If our model is accurate, it will…

Introduction to supervised learning in machine learning — Well, if you’re new to the subject of machine learning, you’ve definitely heard of various kinds of learning. If not, don’t worry, in this article, I’ll explain what Supervised learning is. What is supervised learning? Supervised learning involves learning a function that maps an input to an output based on example input-output pairs. …

Understanding Activation Functions in Machine Learning and Deep learning — Activation function is a very important topic in the field of deep learning. In this article, I would be giving you a detailed explanation on activation functions, it’s types and which activation function to use on your dataset. What is activation function? In neural networks, activation functions are used to calculate the weighted total…

Virtual machines, which have been around for a while, are regarded as the first generation of cloud computing’s core. While containers are lighter, which makes them faster and more efficient. …