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所在平台: Udemy |
课程主页: https://www.udemy.com/course/10-real-life-data-science-projects-2021/
课程评论：没有评论
**课程名称：** 10个数据科学项目 **课程概述：** 本课程将引导您完成10个真实世界数据科学项目，这些项目在数据科学行业中具有实际应用价值。通过学习本课程，您将： * **掌握 Jupyter Notebook 的使用：** 熟练使用 Jupyter Notebook 进行 Python 数据科学任务。 * **实践监督学习：** 完成基于分类和回归的项目，深入理解监督学习。 * **探索无监督学习：** 学习并实践聚类分析项目，掌握无监督学习技术。 * **学习数据清洗：** 了解在将数据输入模型前进行数据清洗的重要性及方法。 * **提升模型准确性：** 学习模型调优技巧，提高模型的准确率。 * **掌握模型部署：** 通过 Flask API 学习如何部署您的模型。 * **通过真实项目巩固技能：** 增强利用网络上公开数据提取可操作见解的能力，为简历增添亮点。 本课程旨在帮助您打下坚实的项目实践基础，助您在数据科学之旅中迈出重要一步，成为实际项目应用领域的专家。讲师将提供持续支持，确保您获得最大的学习价值。
This course is based on10 real life data science projects- You will work on 10 interesting projects which are used in data science industry.ENROLL IN MY LATEST COURSE ON HOW TO LEARN ALL ABOUT INDUSTRY LEVEL DATA SCIENCE PROJECTSDo you want to harness the power of data science?Are you looking to gain an edge by adding cool projects in your resume?Do you want to learn how to deploy a model?Gaining proficiency in data science can help you harness the power of the freely available data and information on the world wide web and turn it into actionable insightsMy course provides a foundation to carry out real life data science projects. By taking this course, you are taking an important step forward in your data science journey to become an expert in harnessing the power of real projects.Through this course you will:Gain proficiency in setting up and using jupyter notebooks for Python Data Science tasks.Work on supervised learning classification and regression based projects.Work with unsupervised learning cluster analysis project.Know about how to cleanup data before feeding into model.How to tune the model accuracy.Deploy the model using flask api.In addition to all the above, you'll have MY CONTINUOUS SUPPORT to make sure you get the most value out of your investment!ENROLL NOW:)
