Author: Naveen

Naveen Pandey has more than 2 years of experience in data science and machine learning. He is an experienced Machine Learning Engineer with a strong background in data analysis, natural language processing, and machine learning. Holding a Bachelor of Science in Information Technology from Sikkim Manipal University, he excels in leveraging cutting-edge technologies such as Large Language Models (LLMs), TensorFlow, PyTorch, and Hugging Face to develop innovative solutions.

Naveen Pandey
August 22, 2023November 15, 2025

What is Feature Engineering in Machine Learning | Feature Engineering Techniques

If you are into machine learning, then you probably know that feature engineering is an important step in building a machine-learning model that actually works. Feature engineering is the process of transforming existing features or creating new features to improve the performance of a machine-learning model. Feature engineering is the process of taking raw data…

Naveen Pandey
August 18, 2023December 12, 2024

LeNet-5 Architecture Explained | Introduction to LeNet-5 Architecture

LeNet-5 is a compact neural network comprising fundamental components of deep learning convolutional layers, pooling layers, and fully connected layers. It serves as a foundational model for other deep learning architectures. Let’s talk about the LeNet-5 and enhance our understanding of convolutional and pooling layers through practical examples. Introduction to LeNet-5 LeNet-5 consists of seven…

Naveen Pandey
August 8, 2023December 15, 2024

Alexnet Architecture Explained | Introduction to Alexnet Architecture

The introduction of AlexNet in 2012 has changed the image recognition field. Thousands of researchers and entrepreneurs were able to approach artificial intelligence in a different manner by using this deep neural network that Alex Krizhevsky, Ilya Sutskever and Geoffrey Hinton created together. Considering how strictly quantitative and limited computer vision technology was: barely classifying…

Naveen Pandey
July 31, 2023November 15, 2025

Top 10 AI and ML Project Ideas for 2023

Artificial Intelligence (AI) is a rapidly growing field that can seem daunting to beginners. However, there are many basic AI projects that beginners can take up to gain experience and knowledge. In this blog post, we will explore 10 AI and ML projects ideasthat are perfect for beginners. These projects cover a wide range of…

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
July 25, 2023December 12, 2024

Sigmoid Activation Function in Detail Explained

When it comes to artificial neural networks, the Sigmoid activation function is a real superstar! It might sound like a fancy term, but don’t worry; we’re going to break it down in a way that even your grandma would understand. What’s the Buzz About Activation Functions? Before we zoom in on the Sigmoid activation function,…

Naveen Pandey
July 22, 2023November 9, 2025

Efficient Data Manipulation with Apply() Function in Pandas

If you’re a data enthusiast like me, you’ve probably dabbled in the world of Python and Pandas, the go-to library for data manipulation and analysis. Now, imagine you have a massive dataset with thousands of rows, and you want to perform some custom operations on it. Well, don’t fret! Pandas has your back, and it…

Naveen Pandey
July 19, 2023November 15, 2025

Implementing Linear Regression from Scratch with Python

Linear regression is a fundamental machine learning algorithm that allows us to predict numerical values based on input data. In this article, we will see how to implement linear regression from scratch using Python. We will break down the code into simple steps, explaining each one along the way. So, let’s understand how linear regression…

Naveen Pandey
July 18, 2023December 12, 2024

Understanding the Softmax Activation Function: A Detailed Explanation

The Softmax activation function is one of the most important activation function in artificial neural networks. Its primary purpose is to transform a vector of real numbers into a probability distribution, enabling us to make informed decisions based on the output probabilities. In this article, we will figure out the workings of the Softmax activation…

Naveen Pandey
July 15, 2023November 16, 2025

Enhancing Image Visibility with Adaptive Thresholding

In this article we will be working on Enhancing Image Visibility with Adaptive Thresholding. You must have come across images that appear too dark or lack the necessary contrast to make out important details? Whether it’s a poorly lit photograph or a scanned document, such images can be challenging to interpret. Fortunately, there’s a powerful…

Naveen Pandey
July 14, 2023November 16, 2025

Parkinson’s Disease Detection using Machine Learning Algorithm

In this step-by-step tutorial we will walk through the step-by-step process of building Parkinson’s Disease detection using machine learning. Parkinson’s Disease is a neurodegenerative disorder that affects millions of people worldwide. Early detection of the disease is crucial for effective management and treatment. In this article, we will explore how machine-learning techniques can be employed…

Naveen Pandey
July 13, 2023December 12, 2024

Day 5: Everything you need to know about Activation Functions in Deep learning

Deep learning is a powerful area of artificial intelligence that has received a lot of attention in recent years. One of the main components of deep learning models is the activation function. Activation functions play a crucial role in determining the output of a neural network. In this article, we will dive deep into understanding…