|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-machine-learning-sc/
课程评论：没有评论
**课程名称：** Python 入门机器学习 **课程概述：** 本课程专为机器学习零基础到初学者的学员精心设计，涵盖了从机器学习的基础概念（如工具、技术和数学原理）到实际的 Python 编程应用。课程内容以清晰易懂的代码示例和视觉化的方式呈现，即使没有编程经验的学员也能轻松上手。 **课程特色：** * **循序渐进：** 每个模块都建立在先前知识的基础上，帮助学员逐步深入理解。 * **丰富示例：** 提供大量实践性代码示例，加深学员对知识点的理解和运用。 * **Jupyter Notebook：** 课程内容通过流行的 Jupyter Notebook 工具进行演示，方便学习和实践。 * **自主学习：** 学员可以按照自己的节奏学习，并完成每节课后的练习。 * **推荐环境：** 建议安装 Anaconda Distribution 的 Python（3.6 及以上版本）。 **目标学员：** * 对机器学习感兴趣的初学者。 * 希望通过 Python 学习机器学习的学员。 * 希望巩固机器学习基础知识的学员。 **课程建议：** 如果在课程中发现内容不足，欢迎通过私信提出建议，课程作者将尽快更新内容。
This Complete Beginners Machine Learning Course - is a carefully designed course for absolute beginners to intermediate level audiences. The course is designed visually with interesting and clear code examples that anybody can take this course even without any prior programming experience. First few modules are designed to enable audiences to understand the foundational topics of Machine Learning (i.e., ML tools, techniques, Maths behind ML). Once students get the grip on ML, then they are taken to the Python and ML world. You can learn the course at your pace and practice the exercises provided at the end of the topicsEach section of the course is linked to the previous one in terms of utilizing what was already learned and each topic is supplied with lots of examples which will help students in their process of learning.Throughout the course, the code examples are demonstrated using the popular tool Jupyter Notebook.We recommend you to download the latest version (3.6) of Python from the Anaconda Distribution website covered in this course.If you have any suggestions on topics that have not been covered, you can send them via private message. I will do my best to cover them as soon as possible.
