This series provides a comprehensive guide to Natural Language Processing (NLP), covering the basics, preprocessing, tokenization, text classification, sentiment analysis, and advanced techniques. It explores various NLP tasks and techniques, such as Bag-of-Words, TF-IDF, Word Embeddings, sentiment analysis, Named Entity Recognition, Topic Modeling, and Sequence-to-Sequence models. Whether you're a beginner or an experienced data scientist, this series will equip you with the knowledge and insights needed to understand and apply NLP in real-world scenarios.