rohanmistry231/NLP-Interview-Preparation
A targeted resource for mastering NLP, featuring practice problems, code examples, and interview-focused concepts using libraries like NLTK, SpaCy, and Transformers. Covers text processing, sentiment analysis, and model fine-tuning for technical interview success.
This resource helps aspiring Natural Language Processing (NLP) or Machine Learning engineers prepare for technical interviews. It provides guided practice and code examples for core NLP tasks like text processing, sentiment analysis, and text classification using the NLTK library. You'll input raw text data and learn to extract insights, classify content, and understand key NLP concepts crucial for interview success.
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Use this if you are a developer looking to master fundamental NLP concepts and practice coding challenges specifically for AI/ML and NLP job interviews.
Not ideal if you are a business user looking for a ready-to-use application to solve a specific business problem without writing code.
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Python
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MIT
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Last pushed
May 22, 2025
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