Text Classification with Keras and Python

Text data is growing at an unprecedented rate, making the ability to automatically categorize and analyze written content an essential skill for modern developers. This written course guides you from the absolute basics of natural language processing to building and training neural network classifiers. You will start by understanding core terminology, preprocessing raw text, and preparing data for machine learning models. What you'll learn: Understand the foundational concepts of NLP and text preprocessing; Build and evaluate baseline classification models using logistic regression; Implement deep learning architectures for text classification using Keras; Work with pretrained word embeddings to capture semantic meaning; Apply hyperparameter optimization techniques to improve model performance; Structure clean, reproducible machine learning code with type hints. The course begins with essential concepts and vocabulary before moving step-by-step through feature extraction, neural network construction, and optimization strategies. Designed specifically for beginners with basic Python knowledge, this course requires no prior experience with deep learning or NLP. Start your journey into text classification today and gain practical skills you can apply immediately.