Text Classification with N-Grams and Python

Understanding how to process and categorize text is a fundamental skill in modern software development and data analysis. This text-based course guides you through the core concepts of Natural Language Processing, showing you how to break down language into meaningful chunks to improve classification accuracy. You will transition from basic text manipulation to building reliable, interpretable classification models. What you'll learn: Understand the foundational concepts of tokenization, n-grams, bigrams, and trigrams; Clean and preprocess raw text data for machine learning workflows; Implement text classification models using Python and standard data libraries; Analyze model performance and interpret how specific n-grams influence predictions; Apply modern Python packaging and clean coding practices to your NLP projects. You will start with essential terminology and linguistic foundations before moving on to hands-on text processing, feature extraction, and model evaluation. This course is designed for beginners who have a basic grasp of Python and want to dive into text analysis without complex math. Start processing and understanding text data today.