Natural Language Processing Skills Badge

Issued by Lockheed Martin

Earners will be introduced to NLP, and be able to process a dataset using the "Bag of Words" (BOW) method, including tokenization, building a vocabulary and vector generation. Earners will learn how to build and implement chatbots, implement the spaCy library and process spoken language.

Additional Details

Skills

Artificial Intelligence
Bag of Words
Dataset
Gensim
Inverse Document Frequency
Machine Learning
Natural Language Processing
Sentiment Analysis
Spacey
Term Frequency
Term Frequency - Inverse Document Frequency
Text Data
Tokenization
Vector Generation
Word2Vec
Word Importance

Earning Criteria

Complete five four-hour courses in DataCamp (20 hours of online course work) consisting of videos, instruction, hands-on labs. Topics include an introduction to NLP, sentiment analysis in Python, building chatbots in Python, advanced NLP with spaCY, and spoken language processing in Python.
Complete DataCamp labs within the online coursework (require 100% accuracy).