Learn about ML Models

Why we use Deep Learning while Having Machine Learning?

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Why we use Deep Learning while Having Machine Learning?

Introduction: The Big Question Every new data scientist wonders: “If Machine Learning (ML) works well, why do we need Deep Learning (DL)?” At first glance, ML algorithms like Random Forest, SVM, and Linear Regression seem powerful enough. But when you encounter real-world problems like: You quickly realize: Traditional ML falls short. In this article, we’ll break down:✔ Where ML … Read more

Understand Logistic Regression with Example in Simple Words

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Understand Logistic Regression with Example in Simple Words

Introduction Logistic Regression is one of the most fundamental and widely used concepts in machine learning, primarily for classification tasks. It’s simple yet powerful, bridging the gap between linear regression and classification problems. But wait—how can we use a regression algorithm for classification? Isn’t regression meant for predicting continuous values? This article will guide you … Read more