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所在平台: Coursera专项课程 |
课程主页: https://www.coursera.org/specializations/more-applied-data-science-with-python
课程评论:没有评论
课程名称:使用Python的更多应用数据科学 课程概述:该课程由密歇根大学提供,旨在让学员掌握使用Python进行高级数据分析的技能。学员将在课程中应用分析和机器学习技术。 课程大纲: 1. **数据挖掘与Python**:了解如何从大规模数据集中提取有用的信息。 - 课程链接:[数据挖掘与Python](https://www.coursera.org/learn/data-mining-in-python) 2. **应用无监督学习与Python**:学习如何使用算法寻找数据中的有趣模式。 - 课程链接:[应用无监督学习与Python](https://www.coursera.org/learn/applied-unsupervised-learning-in-python) 3. **网络建模与分析**:探索不同类型的网络分析方法。 - 课程链接:[网络建模与分析](https://www.coursera.org/learn/network-modeling-and-analysis-in-python) 4. **应用信息提取与Python**:掌握如何从文本中提取有用的信息。 - 课程链接:[应用信息提取与Python](https://www.coursera.org/learn/applied-information-extraction-in-python) 欢迎大家免费注册参与这门课程,以提升数据科学的技术水平。
Course Link: https://www.coursera.org/learn/data-mining-in-python
Name:Data Mining in Python
Description:Offered by University of Michigan. In “Data Mining in Python,” you will learn how to extract useful knowledge from large-scale datasets. ... Enroll for free.
Course Link: https://www.coursera.org/learn/applied-unsupervised-learning-in-python
Name:Applied Unsupervised Learning in Python
Description:Offered by University of Michigan. In “Applied Unsupervised Learning in Python,” you will learn how to use algorithms to find interesting ... Enroll for free.
Course Link: https://www.coursera.org/learn/network-modeling-and-analysis-in-python
Name:Network Modeling and Analysis in Python
Description:Offered by University of Michigan. In “Network Modeling and Analysis in Python,” you will learn how different types of network analysis can ... Enroll for free.
Course Link: https://www.coursera.org/learn/applied-information-extraction-in-python
Name:Applied Information Extraction in Python
Description:Offered by University of Michigan. In “Applied Information Extraction in Python,” you will learn how to extract useful information from ... Enroll for free.
Offered by University of Michigan. Gain advanced data analytics skills using Python. Apply analytical and machine learning techniques to ... Enroll for free.