NLP with Python for Machine Learning Essential Training
Advance Your Skills as a Python Data Expert,
With the increased amount of data publicly available and the increased focus on unstructured text data, understanding how to clean, process, and analyze that text data is tremendously valuable. If you have some experience with Python and an interest in natural language processing (NLP), this course can provide you with the knowledge you need to tackle complex problems using machine learning. Instructor Derek Jedamski provides a quick summary of basic natural language processing (NLP) concepts, covers advanced data cleaning and vectorization techniques, and then takes a deep dive into building machine learning classifiers. During this last step, Derek shows how to build two different types of machine learning models, as well as how to evaluate and test variations of those models.
Contents:
- Introduction
- 1. NLP Basics
- 2. Supplemental Data Cleaning
- 3. Vectorizing Raw Data
- 4. Feature Engineering
- 5. Building Machine Learning Classifiers
- Conclusion
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| Rating | Not enough ratings |
|---|---|
| Length | 4h 14m |
| Starts | On Demand (Start anytime) |
| Cost | $29/month (Access to entire library- free trial available) |
| From | LinkedIn Learning |
| Instructor | Derek Jedamski |
| Download Videos | Only via the LinkedIn Learning mobile app |
| Language | English |
| Subjects | Programming Data Science IT & Networking |
| Tags | Machine Learning IT Big Data Python (Programming Language) Natural Language Processing (NLP) |
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| Rating | Not enough ratings |
|---|---|
| Length | 4h 14m |
| Starts | On Demand (Start anytime) |
| Cost | $29/month (Access to entire library- free trial available) |
| From | LinkedIn Learning |
| Instructor | Derek Jedamski |
| Download Videos | Only via the LinkedIn Learning mobile app |
| Language | English |
| Subjects | Programming Data Science IT & Networking |
| Tags | Machine Learning IT Big Data Python (Programming Language) Natural Language Processing (NLP) |
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