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所在平台: Udemy |
课程主页: https://www.udemy.com/course/the-complete-supervised-machine-learning-models-in-python/
课程评论：没有评论
**课程名称:** The Complete Supervised Machine Learning Models in Python (Python 中的完整监督机器学习模型) **课程概述:** 本课程将深入学习在 Python 中实现的各种监督机器学习模型。课程强调每一模型背后的数学原理，认为这是成为优秀数据科学家不可或缺的基础。因此，课程将详细讲解每个模型的数学直觉。 在 Python 实现部分，课程不仅教授如何具体实现特定模型，更侧重于如何构建可复用的模型模板，并计算模型准确率。这使学习者能够方便地在特定问题上测试不同的模型，比较其准确率，并最终选择表现最优的模型。 **课程亮点:** * **全面覆盖:** 学习 Python 中所有主流的监督机器学习模型。 * **数学精讲:** 深入理解模型背后的数学原理，建立扎实的基础。 * **实战导向:** 学习构建可复用的模型模板，并掌握如何评估和选择模型。 * **Python 实现:** 通过实际的 Python 代码演示，掌握模型的应用。 **期待您加入本课程！**
In this course, you are going to learn all types of Supervised Machine Learning Models implemented in Python. The Math behind every model is very important. Without it, you can never become a Good Data Scientist. That is the reason, I have covered the Math behind every model in the intuition part of each Model. Implementation in Python is done in such a way so that not only you learn how to implement a specific Model in Python but you learn how to build real times templates and find the accuracy rate of Models so that you can easily test different models on a specific problem, find the accuracy rates and then choose the one which give you the highest accuracy rate.I am looking forward to see you in the course..Best
