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所在平台: Udemy |
课程主页: https://www.udemy.com/course/hands-on-scikit-learn-for-machine-learning/
课程评论：没有评论
课程名称：动手实践：使用Scikit-learn进行机器学习 课程概述：Scikit-learn无疑是当今最受欢迎的Python机器学习库。数以千计的数据科学家和机器学习从业者在整个机器学习项目生命周期中都在日常任务中使用它。由于其广泛的受欢迎程度和对各种机器学习模型及内置工具的覆盖，关于Scikit-learn的职位需求在行业和学术界都很高。 如果你是一个有志成为机器学习工程师的人，准备迎接真实项目的挑战，《动手实践：使用Scikit-learn进行机器学习》课程将带你走过Scikit-learn提供的最常用模型、库和工具。课程结束时，您将在一个地方拥有一套基于Scikit-learn的机器学习问题解决工具，包括代码模块和实用函数，这些工具可以方便地应用于真实项目和数据集。本课程的所有代码和支持文件均可在Github上获取。 关于讲师：Farhan Nazar Zaidi拥有25年的软件架构、大数据工程和多种语言及技术的软件开发经验。他擅长架构和设计网络分布式软件系统和数据分析应用，并设计企业级软件系统。Farhan持有美国南加州大学计算机科学硕士学位和巴基斯坦拉合尔工程大学电气工程学士学位。他曾在美国多家硅谷公司担任高级软件工程师，并在巴基斯坦的软件行业担任过关键职位。Farhan目前作为咨询师、解决方案开发者以及针对大数据工程、微服务、高级分析和机器学习的面对面培训师开展工作。
Scikit-learn is arguably the most popular Python library for Machine Learning today. Thousands of Data Scientists and Machine Learning practitioners use it for day to day tasks throughout a Machine Learning project's life cycle. Due to its popularity and coverage of a wide variety of ML models and built-in utilities, jobs for Scikit-learn are in high demand, both in industry and academia.If you're an aspiring machine learning engineer ready to take real-world projects head-on, Hands-on Scikit-Learn for Machine Learning will walk you through the most commonly used models, libraries, and utilities offered by Scikit-learn.By the end of the course, you will have a set of ML problem-solving tools in the form of code modules and utility functions based on Scikit-learn in one place, instead of spread over several books and courses, which you can easily use on real-world projects and data sets.All the code and supporting files for this course are available on GithubAbout the AuthorFarhan Nazar Zaidi has 25 years' experience in software architecture, big data engineering, and hands-on software development in a variety of languages and technologies. He is skilled in architecting and designing networked, distributed software systems and data analytics applications, and in designing enterprise-grade software systems.Farhan holds an MS in Computer Science from University of Southern California, Los Angeles, USA and a BS in Electrical Engineering from University of Engineering, Lahore, Pakistan. He has worked for several Silicon-Valley companies in the past in the US as a Senior Software Engineer, and also held key positions in the software industry in Pakistan. Farhan works as consultant, solutions developer, and in-person trainer on big data engineering, microservices, advanced analytics, and Machine Learning.
