Natural Language Processing Python Course
Gain expertise in NLP using Python through text cleaning, feature engineering, message clustering, and creating sentiment and classification models. Acquire essential tools and workflows to deliver reliable, production-grade NLP solutions for practical technology applications. The course emphasises hands-on skills for real-world projects, ensuring learners can build and deploy effective models efficiently.
flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This course offers a quick practical guide from raw text to functional models. Learners will clean and preprocess text, use n-grams and TF-IDF for feature extraction, develop sentiment analysis and classification systems, and perform clustering with embeddings and vector search. Additionally, it covers dataset selection, experiment tracking, code packaging, and strategies for advancing in NLP.
Elevify advantages
Develop skills
- Develop NLP pipelines to clean, tokenise, and preprocess real-world text quickly.
- Create text features using TF-IDF, n-grams, and embeddings for strong models.
- Build and train sentiment and topic models with professional machine learning metrics.
- Apply search and clustering techniques with FAISS, Annoy, and KMeans for grouping messages.
- Package reproducible NLP projects with proper code organisation, reports, and environment files.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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