The video tutorial covers the development of machine learning-based chatbots, starting with an overview of their architecture and the need for intelligent chatbots. It discusses the revolution brought by machine learning in chatbot development and introduces the Natural Language Toolkit (NLTK) library for natural language processing. The tutorial includes a hands-on project to develop a rule-based chatbot using NLTK and Python. It then transitions to a project focused on creating a conversational chatbot using machine learning techniques, covering package installation, corpus creation, text preprocessing, and response generation. The tutorial concludes with a brief introduction to the deep learning section.

What steps are involved in text preprocessing for a machine learning based chatbot?

How do you perform testing and training of a machine learning based chatbot?