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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/python-mlops-duke
课程评论：没有评论
课程名称：MLOps的Python基础 课程概述：MLOps（机器学习运维）的Python基础课程旨在为学习者提供成功担任MLOps角色所需的基本Python技能。课程涵盖Python编程语言的基础知识，包括数据类型、函数、模块和测试技术。同时，学习者将学习如何有效处理数据集以及其他与数据科学相关的任务，使用Pandas和NumPy库。通过一系列实践练习，学习者将获得实际操作经验。 课程大纲： 1. **Python简介**：学习如何有效使用变量、逻辑和Python的数据结构，以加载、持久化和迭代数据。应用这些数据结构解决不同问题并从中提取数据。 2. **Python函数与类**：学习如何创建函数、类和方法，这是几乎所有Python程序的基础。掌握函数和类有助于组织代码，提高可维护性和代码重用性。 3. **Python中的测试**：学习Python测试基础知识，包括标准库的简要概述，以及使用Pytest（一个流行的测试库）的现代方法。课程结束时，应能够处理现有测试、创建新测试并调试测试失败问题。 4. **Pandas和NumPy简介**：学习如何使用Pandas和NumPy处理数据，从不同来源加载和读取数据集到绘制图表和探索数据中的常见问题。Pandas将帮助你进行数据转换并导出成不同格式，NumPy将增强你处理数值数据的能力。 5. **MLOps的应用Python**：掌握如何使用Python创建和使用API，包括HTTP和命令行工具的基础知识。深入了解创建自己的命令行工具和HTTP API，以暴露机器学习模型所需的所有细节。 通过本课程的学习，您将建立起在MLOps领域所需的Python编程能力，并为未来的机器学习项目打下坚实的基础。
Name:Introduction to Python
Description:This week, you will learn how to effectively use variables, logic, and Python’s data structures to load, persist, and iterate over data. You will apply these data structures to solve different problems as well as extract data from them.
Name:Python Functions and Classes
Description:This week, you will learn how to create functions, classes, and methods. These are the basis of almost any program you might create with Python. Functions and classes are useful for organizing code, increasing maintainability and code reuse.
Name:Testing in Python
Description:This week, you will learn the basics of Python testing. From a brief overview of the standard library to using a more modern approach with Pytest, one of the most popular testing libraries in Python. By the end of this week, you should be comfortable working with existing tests, creating new tests, and debugging test failures.
Name:Introduction to Pandas and NumPy
Description:This week, you will learn how to work with data using Pandas and NumPy. From loading and reading datasets from different sources to plotting graphs and exploring common problems in data. Pandas will allow you to perform transformations and export your data into different formats, and NumPy will boost your ability to work with numerical data.
Name:Applied Python for MLOps
Description:This week you’ll grasp the basics of how to create and use APIs with Python using HTTP and command-line tools. We’ll go through all the details you need to know to create your own command-line tools and HTTP APIs to expose Machine Learning models.
Python Essentials for MLOps (Machine Learning Operations) is a course designed to provide learners with the fundamental Python skills needed to succeed in an MLOps role. This course covers the basics of the Python programming language, including data types, functions, modules and testing techniques. It also covers how to work effectively with data sets and other data science tasks with Pandas and NumPy. Through a series of hands-on exercises, learners will gain practical experience working with
