|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/implement-machine-learning-in-data-mining-using-python/
课程评论：没有评论
**课程名称：** Python机器学习与数据挖掘入门 **课程概述：** 本课程旨在教授学员如何创建机器学习模型并将其应用于数据挖掘过程。您将深入理解数据挖掘的流程，以及如何在数据挖掘中实现机器学习算法。此外，课程还将详细讲解深度学习的工作原理，并指导您如何构建深度学习模型来解决实际业务问题。 课程初期，您将掌握数据挖掘的基本概念，并了解数据挖掘在不同商业领域的应用。随后，课程将引导您学习如何使用Python以及NumPy、Pandas和Matplotlib等专业数据科学库来创建机器学习模型。您无需任何编程基础，将从零开始学习Python代码，逐步熟悉构建机器学习模型所需的关键代码。 本课程设计注重以简洁明了的方式传授知识，确保学习过程的顺畅。您将循序渐进地学习，最终熟悉最常用的机器学习算法。 **课程要点：** * 理解数据挖掘流程及其在商业领域的应用 * 学习使用Python及其核心数据科学库（NumPy, Pandas, Matplotlib） * 从零开始学习构建机器学习模型所需的Python代码 * 掌握深度学习的工作原理及模型构建方法 * 循序渐进地熟悉常用机器学习算法
If you seek to learn how to create machine learning models and use them in data mining process, this course is for you. You will understand in this course what is data mining process and how to implement machine learning algorithms in data mining. Moreover, you will learn in details how deep learning does work and how to build a deep learning model to solve a business problem. In the beginning of the course, you will understand the basic concepts of data mining and learn about the business fields where data mining is implemented. After that you will learn how to create machine learning models in Python using several data science libraries developed especially for this purpose. NumPy, Pandas, and Matplotlib are some examples of these models that you will learn how to import and use to create machine learning algorithms in Python. You will learn typing codes in Python from scratch without the need to have a pervious knowledge in coding. You will be familiar with the essential code needed to build machine learning models. This course is designed to provide you with the knowledge you need in a simple and straightforward way to smooth the learning process. You will build your knowledge step by step until you become familiar with the most used Machine Learning algorithms.
