Jul 12, 2025 · As we all know that better encoding leads to a better model and most algorithms cannot handle the categorical variables unless they are converted into a numerical value.

Jun 16, 2024 · Understanding and choosing the right encoding technique is crucial for the success of any machine learning project. Each encoding method has its strengths and is suited to specific types …

Feb 7, 2024 · Today, I’m thrilled to introduce three fundamental encoding techniques that are essential for every budding data scientist! Plus, I’ve included a practical tip to help you see these techniques in …

Mar 31, 2025 · Learn how encoders are used in machine learning for tasks like image compression, classification, and anomaly detection with real-world use cases.

Mar 14, 2025 · Encoders and decoders are the backbone of modern AI systems, enabling machines to understand, translate, and create data with human-like proficiency. From powering real-time …

Feb 3, 2025 · Simply said, encoding is the process of transforming non-numerical labels into numbers so that machine learning models can comprehend the data and make predictions.

This repository provides a detailed guide to the most commonly used encoding techniques, explains when to use each one, and includes Python implementations for practical applications.