KNN ( K nearest neighbours) is a popular machine-learning model that is non-parametric and can be used for both categorical and continuous numerical data. KNN Classifier is used for categorical data while KNN Regressor is used for continuous data that predicts the numerical target based on similarity measure. It takes the

These days we find AI everywhere, transforming the way we live and revolutionising industries. A fundamental concept of AI is the neural networks which play a significant role in powering intelligent systems. These networks mimic the structure of a human brain consisting of numerous interconnecting nodes processing vast amounts of

Imputation is a process to handle missing data while retaining a substantial portion of the data. It involves estimating and replacing the missing data with substitute values. This is done to ensure that the dataset is complete, preserve the relationships between variables and maintain sample sizes. It is not advisable

This article on the journey of an ML model will take you through the entire process from when the model is built to where it can be used in a web container.  The journey starts with building the model, training it on a dataset, finetuning it, testing it, logging and

Deep neural networks have achieved remarkable remarks in the past few years in complex processes like image recognition, natural language processing, and game playing. These are often regarded as ‘black boxes’ since they are opaque and the process of how they arrived at the output is unknown. It is important

Virtual Reality helps us have an immersive and highly interactive experience in a computer-generated environment with scenes and objects that seem to be real. Using this we can experience being a part of the scene than watching it on the screen of our devices. It relies on the fundamental understanding

“Semantic segmentation is a fundamental task in computer vision that involves partitioning an image into meaningful segments. The U-Net model is a popular architecture for semantic segmentation, widely used in various applications, such as medical imaging, autonomous vehicles, and many more. This article will walk you through an end-to-end guide

“In a world filled with amazing technological advancements, there's a special kind of artificial intelligence that is making conversations more exciting and informative than ever before. It's called ChatGPT! Designed to assist and engage with users of all ages, ChatGPT is an AI-powered virtual companion that can answer questions, tell

A Convolutional Neural Network (CNN) is a type of Deep Learning neural network architecture commonly used in Computer Vision. Computer vision is a field of Artificial Intelligence that enables a computer to understand and interpret the image or visual data.   In a regular Neural Network there are three types of

ChatGPT is an AI chatbot that uses natural language processing to create humanlike conversational dialogue. The language model can respond to questions and compose various written content, including articles, social media posts, essays, code and emails. Introduction: In recent years, advancements in artificial intelligence (AI) have revolutionized the way we

Text classification is a natural language processing (NLP) task that involves automatically categorizing or assigning predefined labels to text documents based on their content. The goal is to develop a machine learning model that can learn from labeled training data and accurately predict the class or category of unseen or

Introduction: ChatGPT, an advanced language model developed by OpenAI, offers numerous applications and benefits in the healthcare sector. With its natural language processing capabilities and ability to generate human-like responses, ChatGPT can be utilized in patient education, symptom assessment, appointment scheduling, medication management, mental health support, continuing medical education, language

Introduction: Artificial Neural Networks (ANNs) are a class of machine learning models inspired by the structure and functionality of biological neural networks in the human brain. ANNs have gained significant attention and popularity due to their ability to learn from data, recognize patterns, and make predictions or decisions in a

MLFlow is an open-source end-to-end platform for managing a machine learning life-cycle provided by Databricks. Why do I need MLFlow? Most data scientists and ML engineers are able to create a model on their laptops and desktops. They may use Anaconda, Jupyter or some other IDE to code their ML

Hyper parameter tuning and cross-validation To cook your favourite dish, you know to set the oven to 180 degrees and turn the grill on. But when your roommate cooks their favourite dish, they set use 200 degrees and the fan-forced mode. Same oven, different settings, different outcomes. The same can

Classification is a supervised machine learning process of categorising a given set of input data into classes based on one or more variables. Additionally, a classification problem can be performed on structured and unstructured data to accurately predict whether or not the data will fall into predetermined categories.  Classification in

Machine Learning? In the early days of “intelligent” applications, many systems used handcoded rules of “if ” and “else” decisions to process data or adjust to user input. Think of a spam filter whose job is to move the appropriate incoming email messages to a spam folder. You could make up

ChatGPT is a new AI tool that is making waves in the content creation world. It can generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way. In this article, we will take a closer look at ChatGPT and explore its potential

Natural Language Processing has diverse applications. It encompasses sentiment analysis for understanding emotions in text, chatbots and virtual assistants that interact with users, text classification and categorization for organizing information, named entity recognition to extract specific entities, machine translation for language conversion, text summarization for condensing content, question answering systems

In today's digital age, the explosion of text data on social media, product reviews, and online discussions has made sentiment analysis an essential tool for businesses and researchers alike. Sentiment analysis involves the use of Natural Language Processing (NLP) techniques to determine the underlying sentiment expressed in a piece of

Word embeddings are a popular technique in natural language processing (NLP) that represents words or phrases as dense vectors in a continuous vector space. They capture the semantic and syntactic relationships between words, allowing machines to understand and process human language more effectively. Traditionally, NLP models represented words as one-hot

Artificial intelligence (AI) has witnessed remarkable progress in recent years, transforming various industries and significantly impacting our daily lives. One particular area where AI is making a significant difference is in education. With the emergence of ChatGPT, an advanced language model developed by OpenAI, the possibilities for enhancing the learning