daniel-hain/ML_course_maastricht
Machine Learning Introductory Course
This course helps policy analysts and social scientists apply machine learning and natural language processing to real-world problems. You'll learn how to use R and the tidyverse ecosystem to take raw data, such as policy documents or market trends, and produce predictive models or extracted insights. The content is designed for students and professionals looking to enhance their analytical capabilities in policy analysis, economics, and social science domains.
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Use this if you are a policy analyst, social scientist, or researcher who wants to learn practical applications of machine learning and natural language processing using R.
Not ideal if you are looking for an advanced, deep-dive into machine learning theory without practical application, or if you prefer a different programming language like Python.
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