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NLP Project

โ€™ve just committed a comprehensive set of NLP projects and resources to my GitHub repository. This collection covers a wide range of NLP techniques and practical applications, perfect for anyone looking to dive deep into Natural Language Processing. Here's a sneak peek of what's inside:

๐Ÿ“‚ Projects and Code Examples:

15-Bag Of Words26-Word2vec_Practical.ipynb: Exploring fundamental NLP models. 27.2-Spam Ham Classification Project Using BOW And TFIDF And ML.ipynb: Classifying spam and ham emails using BOW and TFIDF. 28 And 29 -Spam Ham Projects Using Word2vec,AvgWord2vec.ipynb: Advanced spam classification with Word2vec. 30 and 31-Project 2- Kindle Review Sentiment Analysis.ipynb: Analyzing sentiments in Kindle reviews. ๐Ÿ“Š Text Preprocessing Techniques:

4-Tokenization Example Using NLTK.ipynb 5-Stemming And Its Types- Text Preprocessing.ipynb 6-Lemmatization- Text Preprocessing.ipynb 7-Text Preprocessing-Stopwords With NLTK.ipynb 8-Parts Of Speech Tagging.ipynb 9-Named Entity Recognition.ipynb ๐Ÿ“˜ Bonus Resource: Lifecycle of NLP Projects (PDF): A detailed guide to the complete lifecycle of NLP projects, from data collection to model deployment.

Check out the repository here: GitHub Repository

I hope these resources help you in your NLP journey. Happy coding! ๐Ÿ’ปโœจ

#NLP #MachineLearning #DataScience #GitHub #OpenSource #NaturalLanguageProcessing #AI

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siddharth-kharche avatar

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