Text Analytics and Predictions with Python Essential Training
In this LinkedIn Learning course, I learned the fundamentals of text analytics and how to use text data to predict insights from various sources such as websites, social media, emails, and chats. Text, being a rich source of information for businesses, holds valuable customer data that can be harnessed for strategic purposes. One of the most interesting topics I learned from the course was the processes of clustering and the meaning behind k-means. Understanding the intricacies of this process allowed me to uncover patterns, themes, and relationships within large sets of unstructured text data. The course not only equipped me with the basic skills needed for text analytics but also provided a conceptual understanding of how clustering, specifically k-means, can be employed to unveil hidden structures within textual information. I am now better prepared to organize, interpret, and derive meaningful insights from the world of text data.