Solving Business Problems with NLP

December 29, 2023

This course is for anyone interested in learning & applying Natural Language Processing (NLP) for solving real-world business problems

Technical skills are essential, but not enough, non-technical and domain fields of studies are still essential if you want to understand data science vs its application.
Current and future global challenges in the sector
How data science or artificial intelligence would be applied.
Data science and the necessities to keep learning for life.
Instructor-led online course with guided labs
Real-world, practical assignment(s) leading to project
Application in social and business problems

Week	Instruction (1 hr)	Lab (guided + unguided) 1+ 3 hrs
Week 1 (5 hrs)	Developing Text dataset Web and pdf scraping	Nocode and with code Web Scraping for developing a text dataset Tools: ParseHub, Beautiful Soup
Week 2 (5 hrs)	Pre processing, cleaning & visualization of text data	Stop word & punctuation removal, stemming & lemmatization, Word-to-vector, Vectorization (Tf-Idf, Count vectorizer) Tools: NLTK, Spacy
Week 3 (5 hrs)	Machine learning on text data	SVM, RF, Ensemble model Tools: Scikit-learn
Week 4 (5 hrs)	Semi-supervised and unsupervised classification in NLP	Topic classification & Named Entity Recognition Tools : CoRex, LDA
Week 5 (5 hrs)	Deep learning on mix of numeric & text data	ANN, LSTM, BERT Tools: keras
Week 6 (15 hrs)	Case study guidance & evaluation	Real-world case study

Course Info