NLP and Python focuses on building natural language processing applications using Python to analyze and understand human language data. It enables organizations to process text data for tasks such as sentiment analysis, text classification, and language translation. This training explains key NLP concepts including tokenization, stemming, lemmatization, named entity recognition, and vectorization techniques. It also covers popular Python libraries like NLTK, spaCy, and scikit-learn for text processing and model building. You will learn how businesses use NLP to extract insights from customer feedback, social media, and documents. The course also highlights best practices for developing scalable and efficient NLP solutions.
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