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学生对 伊利诺伊大学香槟分校 提供的 Machine Learning for Accounting with Python 的评价和反馈

4.6
35 个评分

课程概述

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....

热门审阅

TH

Apr 16, 2022

This is a great introductory course on machine learning with really practical examples. It does not go too deep.

BM

Aug 26, 2022

The course is a great one for Machine Learning Journey

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1 - Machine Learning for Accounting with Python 的 8 个评论(共 8 个)

创建者 Abdelkader G

Feb 1, 2022

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Jun 10, 2021

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Apr 16, 2022

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Aug 12, 2020

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Feb 19, 2021

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创建者 Juan P G Z

Dec 21, 2021