Machine Learning for Accounting with Python(으)로 돌아가기
일리노이대학교 어버너-섐페인캠퍼스의 Machine Learning for Accounting with Python 학습자 리뷰 및 피드백
26개의 평가
강좌 소개
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.
필터링 기준:
Machine Learning for Accounting with Python의 3개 리뷰 중 1~3
교육 기관: Alexander E
•2021년 6월 10일
This course is very well structured and formatted for better understanding the variety of methods in machine learning. I found the subjects quite challenging and without hints provided I am not sure if I was able to complete all the tasks. I want to say thanks to Linden Lu for his outstanding job.
교육 기관: Nyam-Ochir B
•2020년 8월 12일
nice experience
교육 기관: Hồ H V
•2021년 2월 19일
Good course
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