机器学习课程 机器学习课程为期 12 周、26 节课,在课程中你将了解经典机器学习的相关内容,主要使用 Scikit-learn 框架作为案例演示。 在机器学习型课程中,老师会提供一些数据集和案例。包括翻译、价格预测、情感分类等等,除此之外还会讲解一些基础知识,比如逻辑回归、聚类、序列模型、NLP等。
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README.md

Project

This repo has been populated by an initial template to help get you started. Please make sure to update the content to build a great experience for community-building.

As the maintainer of this project, please make a few updates:

  • Improving this README.MD file to provide a great experience
  • Updating SUPPORT.MD with content about this project's support experience
  • Understanding the security reporting process in SECURITY.MD
  • Remove this section from the README

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.

Trademarks

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.