Introduction to NLP and Text Mining
This course will teach you the essential techniques of text mining, understood here as the extension of data mining’s standard predictive methods to unstructured text.
Home Courses – Using Python
This course will teach you the essential techniques of text mining, understood here as the extension of data mining’s standard predictive methods to unstructured text.
This course will introduce you to the basics of programming in Python on either Windows or Mac platform.
This course will teach you how to apply predictive modeling methods to identify persuadable individuals and to target voters in political campaigns.
This course introduces to the basic concepts in predictive analytics, with a focus on Python, to visualize and explore data that account for most business applications of predictive modeling: classification and prediction.
As a continuation of Predictive Analytics 1, this course introduces to the basic concepts in predictive analytics, with a focus on Python, to visualize and explore predictive modeling.
This course, with a focus on Python, will teach you key unsupervised learning techniques of association rules – principal components analysis, and clustering – and will include an integration of supervised and unsupervised learning techniques.
This course will teach you the basic Python skills and data structures; how to load data from different sources, rearrange, and aggregate it; and finally how to analyze and visualize it to create high-quality products.
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