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Knowledge map for course NLP Engineer

The foundation of Hyperskill — thousands of topics organized by domain and connected by prerequisites. Expand any category to find topics, check their prerequisites, and see how concepts connect to each other. Representation of a knowledge map with trees of topics
3.0185 already learning 4 weeks ago last updated

Continue your exploration of NLP with a deeper dive into modern natural language processing techniques. This course goes beyond basic tasks like tokenization and POS-tagging, challenging you to delve into implementations of sentiment analysis, spell checking, and machine translation, among others.

Discover the power of the Knowledge map! Monitor your progress in real-time, grasp topic connections, and get a clear picture of your learning journey.
Computer science 0 / 229
Software development foundations 0 / 22
Programming languages 0 / 92
Python 0 / 92
System administration and DevOps 0 / 3
Command line 0 / 3
Algorithms and data structures 0 / 11
Frontend 0 / 3
HTML 0 / 3
HTML Intro 0 / 3
Introduction to HTML 0 / 3
Data science 0 / 98
Machine learning 0 / 16
Instruments 0 / 19
NumPy 0 / 3
Pandas 0 / 13
Scikit-learn 0 / 3
Scikit-learn basics 0 / 2
Data preprocessing with scikit-learn 0 / 1
NLP 0 / 63
Math 0 / 48
Generative AI 0 / 3
  2. Computer science
  3. Data science
  4. Instruments
  5. Scikit-learn
  6. Data preprocessing with scikit-learn
Data preprocessing with scikit-learn