Natural Language Processing with Python - Session 3
🖥 Presented by Women Who Code Data Science
👩💻 Speaker: Nimrita Koul
Natural Language Processing with Python - Session 3
Natural Language Processing (NLP) is a fascinating field that deals with the interaction between computers and humans in natural language. With the rise of AI and machine learning and, its latest breakthrough - ChatGPT – a state-of-the-art AI language model trained by OpenAI., NLP has the power to revolutionise the way we interact with machines, and has become an essential tool for businesses, academics, and individuals alike.
WWCode Data Science brings to you a 4-part “Natural Language Processing using Python” series!
This series aims to provide an introduction to the fundamental concepts of NLP and equip attendees with the skills needed to start building NLP applications.
This is the third session in the series where we discussed text classification models Naive Bayes, Decision Tree, Support Vector Machines, CNN, RNN
About Nimrita: Nimrita is an Associate Professor of Computer Science and Engineering. She holds a PhD in machine learning, with a gold medal in Bachelor of Engineering (Computer Science and Engineering) and a gold medal in Master of Technology (Computer Science and Engineering). She has an academic experience of 17 years with 7 years in research. Her research interests include Machine Learning
and Natural Language Processing. Nimrita is the principal investigator for three research projects in machine learning and natural langauge processing funded by Department of Science and Technology, Government of India. She has delivered multiple international workshops and seminars on Data Analysis, Machine Learning, and Natural Language Processing. She is also a senior member of IEEE and ACM.
Link to the series Jupyter notebooks: https://github.com/NimritaKoul/NLP_WW...
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