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所在平台: Udemy |
课程主页: https://www.udemy.com/course/achieve-your-first-machine-learning-project-python-2h/
课程评论：没有评论
Coursera 上的这门课程“2小时完成你的第一个Python机器学习项目”旨在帮助学员快速掌握机器学习项目的实践流程。课程承诺在短短两小时内，引导学员完成一个完整的机器学习项目，涵盖数据收集、数据准备、模型选择到算法优化等数据科学项目的各个关键步骤，并实现Python的实际应用。 课程旨在解决学员理论知识丰富但缺乏实践经验的痛点，尤其是那些希望将机器学习应用于职业项目但感到无从下手或过程复杂的人。本课程提供了一个清晰、易于遵循但功能强大的解决方案，即一个适用于任何机器学习项目的行动计划，并通过Python代码演示来完成。 虽然课程内容涵盖许多技术概念和Python库的应用，并需要学员具备一定的学习动力，但课程会解释所用模型的直观原理，确保初学者也能理解。课程还特别强调了特征工程（feature engineering）这一强大技术，教授数据探索的三个简单有效的方法，以及数据科学家常用的四种自动化数据准备工具。此外，学员还将学习一种稳健的方法来自动改进模型性能。 完成本课程后，学员将能够自信地应对任何数据集，独立启动并完成机器学习项目，明确项目方向，并能够将所学知识灵活应用于实际工作中。课程被定位为Python机器学习项目的实用指南。
In just 2 hours you will be able to complete a Machine Learning project from start to finish.You will know all the steps of a Data Science project and how to carry them out in Python. So far you have probably learned a lot about the theory of Machine Learning but you have no idea how to apply it to real life cases.You may want to incorporate Machine Learning into your professional projects to improve your results but this seems overwhelming.If you keep going like this, you can continue to learn about Machine Learning without going into practice and lose a lot of time. Worse, you might even get discouraged and give up all your efforts. The real problem is that there are a lot of things to take into account in a Data Science project, from data collection, to data preparation, to the choice of model, to the optimisation of the algorithm. The solution to all this is a clear plan with simple to follow but very powerful instructions, applicable to any Machine Learning project. That's why I wanted to create a complete course, which details all the steps of Machine Learning projects, from start to finish, by implementing them directly in Python.Be careful, this training is intense, many technical concepts are covered, as well as several Python libraries and functions. You need to be motivated.You will have to carefully follow the different steps mentioned to make sure that the final result is valuable. After completing this training, you will know how to solve a problem using Machine Learning and Python. You will discover how powerful this discipline can be.Whenever you will be given any set of data, you will switch on your computer and start your project by following the different steps presented here. You will no longer be confused by where to start.As you keep coding, you will remain confident in your approach because you will know where you are going.You will have more and more ideas of how to apply it in your professional life. In this course, you will discover the powerful technique of feature engineering.You will learn 3 simple but powerful techniques used to explore data.You will discover how to automate data preparation with 4 tools used by data scientists.Finally, you will learn how to significantly improve your model, automatically, with a very robust method. If you currently know few Machine Learning models, don't worry, I explain the intuition behind the models I use. This course is also suitable for those who only have a few basics in Python because the code is explained as we go along.This course is a real guide for any Python Learning Machine project. See you in the training.See you soon, Damien
