Feature relationships and correlation in AI and ML
Introduction: Why Relationships Matter Imagine you’re trying to predict house prices. You have features like square footage, number of bedrooms, location, and year built. But these features are not independent—a larger house tends to have more bedrooms, and newer houses might be in different neighborhoods. Understanding...
Can We Predict Titanic Survivors?
Introduction: The Tragedy That Teaches Data Science On April 15, 1912, the RMS Titanic sank after hitting an iceberg, claiming the lives of 1,502 passengers and crew. It remains one of the deadliest peacetime maritime disasters. But what if we could look...
Build CNN model in Python Step by Step using MNIST dataset
Introduction: Why Convolutional Neural Networks? In our previous tutorial, we built a simple neural network using dense (fully connected) layers to classify fashion items. That model worked decently, but it had a fundamental flaw: it treated every pixel independently, ignoring the spatial...
Build Your First Neural Network in Python
Introduction There is a lot of hype surrounding Artificial Intelligence (AI). Terms like “Neural Networks”, “Deep Learning,” and “TensorFlow” are often thrown around as if they are arcane magic reserved for PhDs and Silicon Valley engineers. But the truth is far more...