Natural Language Processing

Naveen Pandey
April 26, 2025November 8, 2025

Ridge Regression for Beginners

In this article, we will cover the basics of Ridge regression. The main advantage of Ridge regression is to avoid overfitting. The ultimate goal is to obtain a regression model that can generalize patterns and perform well on both the training and testing data. We want to avoid a model that overfits the data, meaning…

Naveen Pandey
April 21, 2025November 8, 2025

A Comprehensive Guide to the RBF Kernel in Machine Learning

Kernel methods are a powerful set of machine learning algorithms that can be used to solve both classification and regression problems. Kernel methods work by transforming the input data into a higher-dimensional space, where it is easier to find linear relationships between the data points. This transformation is performed using a kernel function, which is…

Rajesh Yerremshetty
February 8, 2025November 8, 2025

A Comprehensive Guide on Attention-Based RAG

The advanced model Attention-Based RAG (Retrieval-Augmented Generation) extends RAG principles through attention mechanisms to improve both retrieval precision and document synthesis. This method utilizes self-attention techniques together with cross-attention approaches to improve document selection and content synthesis thus generating more contextually appropriate responses. Extensive research is presented in this article through a deep analysis of…

Naveen Pandey
September 28, 2023November 15, 2025

Top 10 Best AI Companies in 2024

In our fast-changing world, new ideas are really important for making progress. One big idea that’s changing things a lot is called artificial intelligence, or AI for short. AI isn’t just something for the future; it’s already making big changes in the world, and it’s doing it with a level of accuracy that used to…

Naveen Pandey
September 24, 2023November 13, 2025

10 Underrated AI Tools That Will Change Your Life and Business

In this blog post, we will explore ten underrated and less-known AI tools that have the potential to revolutionize your life and business. These tools cover a wide range of functionalities, from creating customized QR codes to competitor research, photo editing, podcast note-taking, meal planning, essay writing, video summarization, lead magnet generation, article summarization, and…

Naveen Pandey
July 28, 2023December 12, 2024

ResNet(Residual Networks) Explained – Deep Learning

In this blog post, we will explore the concept of residual networks in deep learning. Residual networks, also known as ResNets, have revolutionized the field of deep learning by enabling the training of extremely deep neural networks. We will discuss the motivation behind ResNets, their architecture, and how they address the challenges of training deep…

Naveen Pandey
May 3, 2023November 16, 2025

10 Common Data Science Interview Questions and How to Answer Them?

Data science has become a very competitive field and it is important to prepare for data science interviews if you are looking for your dream job. As part of the interview process, you can expect to be asked a number of questions to assess your knowledge, skills and experience in the field. In this blog…

Naveen Pandey
May 2, 2023December 12, 2024

Top 5 Natural Language Processing Libraries for Data Scientist

In this blog post we are going to talk about Natural Language Processing (NLP) which is one of the branches of machine learning which focuses on teaching machines to understand human language. it has multiple applications, from chatbots to sentiment analysis, and is an important skill in the data scientist’s toolbox. let’s look at five…

Naveen Pandey
March 22, 2023December 12, 2024

Day 8: Text Classification with Naïve Bayes

Text Classification is a popular technique used in Natural Language Processing to categorize text documents into predefined categories. Naïve Bayes is a commonly used algorithm for text classification, as it is simple and efficient. In this blog post, we will look at the process of building a Text Classification model using Naïve Bayes, step-by-step. We…

Naveen Pandey
March 19, 2023December 12, 2024

Day 7: Building a Sentiment Analysis Model

In today’s world, where social media is the new norm, analyzing the sentiment behind the text has become important for businesses and organizations. Sentiment analysis refers to the process of determining the emotional tone behind a piece of text, whether it is positive, negative, or neutral. In this article, we will discuss how to build…

Naveen Pandey
March 11, 2023December 12, 2024

Day 6: Word Embeddings: an overview

Word embeddings are a powerful technique in natural language processing which can help us represent words in a more meaningful way than other approaches like one-hot encoding or bag of words. In this blog post, we’ll provide an overview of what word embeddings are, how they work, their advantages and limitations, popular models for generating…

Naveen Pandey
February 22, 2023December 12, 2024

Day 5: Part-of-Speech Tagging and Named Entity Recognition

Welcome back peeps as we have already discussed about the tokenization and stop words in our last article so, in this day 5 of Natural Language Processing (NLP) journey! In this blog we will be exploring two important techniques for analyzing text: Part-of-Speech (POS) tagging Named Entity Recognition (NER) 1 – Part-of-Speech (POS) tagging is…