Natural Language Processing | Build Llm Web App | Rnn & Lstm

Last updated 10/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 414.50 MB | Duration: 2h 43m


Create App Using Streamlit | Sentiment Analysis | Speech to text | Spam Detection

 


What you'll learn
You will gain insights on what Natural Language Processing(NLP) is, its Applications & Challenges
You will learn Sentence Segmentation, Word Tokenization, Stemming, Lemmatization, Parsing, POS & Ambiguities in NLP
You will learn to execute using Machine Learning, NLTK & Spacey
You will learn to work with Text Files with Python
You will utilize Regular Expressions for pattern searching in text
You will use Part of Speech Tagging to automatically process raw text files
You will visualize POS and NER with Spacy
You will understand Vocabulary Matching with Spacy
You will use NLTK for Sentiment Analysis

 

Natural Language Processing | Build Llm Web App | Rnn & Lstm


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