Introduction: When it comes to regression analysis, choosing the right approach is crucial for accurate predictions and meaningful insights. Two common methods used are parametric, like linear regression, and non-parametric, like K-nearest neighbors (KNN) regression. …

Introduction In the realm of Machine Learning, overfitting looms as a formidable adversary, posing a challenge to the creation of robust and accurate models. Overfitting occurs when a model becomes so engrossed in fitting the training data that it loses sight of its ability to generalize to new, unseen data. Essentially…

Feature engineering is a pivotal process in data science, involving the creation of new variables from raw data to enhance the performance and interpretability of models. Features are the characteristics of data that drive predictions, classifications, clustering, and more. This article delves into the significance of feature engineering, its…

In the world of decision-making, an intriguing challenge confronts us — the quest to learn the most favorable choices through a process of trial and error, with the aim of maximizing rewards and avoiding penalties. This challenge, intriguingly, aligns closely with a fundamental concept in computer science: reinforcement learning. …

A beginners guide to learning machine learning algorithms — A major chunk of Machine Learning is Algorithms. You might have mastered cleaning and tidying up the datasets and filtering out the features. What’s next ? Well, moving forward with the modelling, you will need to make a choice between different “possible” algorithms your dataset can be modelled on. …

Let’s walk-through the step-by-step approach to training Deep Convoluted Generative AI models to generate authentic and real-looking images from a custom dataset. Generative Adversarial Networks —an example The distinguishing factor of GANs is their ability to generate authentic, real-looking images, similar to the data distribution you might use. The concept…

Essential machine learning concept, simplified ! A machine learning model’s parameters and hyperparameters are essential components. However, given the complexity of machine learning, it can be difficult to comprehend them. Let’s use an accessible, everyday analogy that everyone can understand to debunk these ideas: navigating through a grocery store. Hyperparameters Consider…

Migraine is not just a bad headache. It’s a disabling neurological disorder with different symptoms and different treatment approaches compared to other headache disorders. …

E-commerce has greatly impacted the way we shop for products and services. This can be attributed to various factors like — convenient home delivery of the order in a desired time window (e.g 10:00–10:30 AM), ability to browse and search through a ginormous catalog of products with a few clicks…