Natural Language Processing with Python Online Training

Enhance your expertise in Natural Language Processing (NLP) with Python through this comprehensive training. Gain insights into basic NLP concepts and applications, and master text preprocessing techniques like stemming, lemmatization, and tokenizing for effective text analysis and word embedding. Become familiar with text vectorization, wordcloud maps, recommender systems, chatbots, and gain hands-on experience in sentiment analysis and text classification.

Explore machine learning models, LSTM models, deep learning with Keras, and NLP libraries like Gensim, NLTK, TextBlob, and SpaCy.

• Exploring text analysis techniques
• Effective language modeling strategies
• Text vectorization for NLP
• Building Word Embedding Models
• Effective Text Classification
• Applying LSTM for NLP Applications

• Data scientists aiming to specialize in NLP and work on projects such as text classification, sentiment analysis, and machine translation.
• Software engineers aiming to build language-based applications need to integrate NLP capabilities into their systems.
• Entrepreneurs developing products or services that involve NLP, such as chatbots or virtual assistants.
• Anyone interested in natural language processing and wants to learn about the latest NLP techniques and tools.