112年第2學期-1178 商業分析之機器學習 課程資訊

評分方式

評分項目	配分比例	說明
Attendance and class participation	30	Students are required to attend class
Assignments	30
Final exam/presentation	40

教育目標

Unlock the potential of machine learning with our "Foundations of Machine Learning with Python" course, designed for beginners eager to delve into the world of intelligent data analysis. This hands-on class introduces participants to the fundamental concepts and practical skills required to implement machine learning algorithms using Python. Whether you're a data enthusiast, analyst, or professional looking to enhance your skill set, this course provides a solid introduction to the essentials. This class provides a solid foundation in using Scikit-Learn, the versatile machine learning library in Python. Whether you're a data enthusiast, analyst, or aspiring data scientist, this course equips you with the essential skills to implement machine learning models for classification, regression, and clustering.

基本資料

選修課，學分數：0-3
上課時間：三/2,3,4[M007]
修課班級：共選修1-4(管院開)
修課年級：1年級以上
選課備註：全英授課，開放全校學生修習，限30人

參考書目

Textbooks

Paper, D. (2020). Hands-on Scikit-Learn for Machine Learning Applications: Data Science Fundamentals with Python. Apress. Download from the University Library for free. https://doi.org/10.1007/978-1-4842-5373-1


References

McKinney, Wes. Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython. Second edition, O'Reilly Media, Inc, 2018.
Grus, Joel. Data Science from Scratch: First Principles with Python. Second edition, O'Reilly Media, 2019.