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Bewertung und Feedback des Lernenden für Machine Learning for Accounting with Python von University of Illinois at Urbana-Champaign
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This course, Machine Learning for Accounting with Python, introduces machine learning algorithms (models) and their applications in accounting problems. It covers classification, regression, clustering, text analysis, time series analysis. It also discusses model evaluation and model optimization. This course provides an entry point for students to be able to apply proper machine learning models on business related datasets with Python to solve various problems.
Accounting Data Analytics with Python is a prerequisite for this course. This course is running on the same platform (Jupyter Notebook) as that of the prerequisite course. While Accounting Data Analytics with Python covers data understanding and data preparation in the data analytics process, this course covers the next two steps in the process, modeling and model evaluation. Upon completion of the two courses, students should be able to complete an entire data analytics process with Python.
Top-Bewertungen
TH
16. Apr. 2022
This is a great introductory course on machine learning with really practical examples. It does not go too deep.
BM
26. Aug. 2022
The course is a great one for Machine Learning Journey
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