Dive into a comprehensive tutorial on Natural Language Processing (NLP) designed for beginners. Learn the fundamentals of NLP, including its definition, functionality, and applications in language-related tasks such as detection, translation, and modeling. Explore essential NLP steps for data cleaning and text-to-feature conversion, culminating in building a multi-classification model for language detection. Cover topics like text pre-processing, vectorization, and various NLP use cases including text classification, named entity recognition, parsing, synthesis, and reasoning. Gain insights into how NLP leverages probability, statistics, machine learning, linguistics, and common sense to resolve language ambiguities and structure data. Discover the importance of NLP in organizing and accessing large knowledge bases efficiently.