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1
Roadmap To Learn NLP
2
Practical Usecases Of NLP
3
Tokenization And Basic Terminologies
4
Tokenization Practicals
5
Text Preprocessing Stemming Uing NLTK
6
Text Preprocessing Lemmatization USing NLTK
7
Stopwords, Parts Of Speech, NAmed Entity Recognition
8
Different types Of Encoding
9
Word Embedding, Word2vec
10
Skipgram Indepth Intuition
11
Average Word2vec With Implementation
Description:
Embark on a comprehensive journey through Natural Language Processing (NLP) in this extensive video tutorial. Learn the roadmap for mastering NLP, explore practical use cases, and dive into essential concepts such as tokenization, text preprocessing, and encoding. Gain hands-on experience with NLTK for stemming and lemmatization, and understand advanced topics like stopwords, parts of speech, and named entity recognition. Delve into various encoding techniques, word embeddings, and Word2Vec models, including an in-depth look at Skip-gram and its implementation. By the end of this tutorial, acquire the skills to contribute to open-source NLP projects and apply your knowledge to real-world scenarios.

Complete Natural Language Processing Machine Learning Tutorial

Krish Naik
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