Data Scientist
NLP for Text Processing
Overview
Master NLP techniques to process, analyze, and derive insights from text using Python, deep learning, and advanced modeling approaches.
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35 Hours of Learning
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0.4K+ Learners
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55,000+ GST
Skills You Will Learn
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Python NLP coding
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Data cleaning
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Feature extraction
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Word embeddings
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Deep learning for NLP
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Model evaluation
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Transfer learning
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Conversational AI building
Course Key Highlights
- Learn essential NLP preprocessing and tokenization methods
- Perform entity recognition and POS tagging efficiently
- Build sentiment analysis and classification models
- Use advanced embeddings like Word2Vec, GloVe, FastText
- Apply topic modeling with LDA and NMF techniques
- Develop functional chatbot applications from scratch
- Fine-tune NLP models using transfer learning approaches
Course Time
Includes:
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Self-paced
Modules -
Assignments
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Assessments
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35 Hours of Learning
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