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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-for-machine-learning-data-science-masterclass/
课程评论：没有评论
课程名称：《Python机器学习与数据科学大师班》 课程概述： 这是互联网上最全面的关于Python、数据科学和机器学习的学习课程。加入Jose Portilla的300多万学生，今天就来了解未来的技术吧！该课程旨在帮助已经具备一定Python基础的学生深入掌握如何将Python技能应用于数据科学和机器学习。数据科学家的起薪通常超过15万美元，我们的课程旨在指导学生学习一系列技能，以提高他们在当今职场的就业竞争力。 课程内容涵盖了世界顶级公司所需的完整数据科学和机器学习技术栈。我们的学生曾在麦肯锡、Facebook、亚马逊、谷歌、苹果、Asana等顶尖科技公司找到工作！课程结构依据我们多年在线和面对面的教学经验，旨在以清晰有序的方式引导学生理解数据科学和机器学习库的使用方法，以及使用这些工具的原因。课程内容在真实案例与机器学习算法的数学理论之间取得了良好的平衡。 我们会讲解大多数课程未涉及的先进机器学习算法，包括高级正则化方法和最先进的无监督学习方法，如DBSCAN。这一综合性课程的设计水平与通常需要数千美元的训练营相当，涵盖以下主题： - Python编程 - NumPy与Python - 深入分析Pandas - 完全理解Matplotlib编程库 - 深入了解Seaborn数据可视化 - 使用SciKit Learn进行机器学习，包括： - 线性回归 - 正则化 - Lasso回归 - 岭回归 - 弹性网络 - K近邻 - K均值聚类 - 决策树 - 随机森林 - 自然语言处理 - 支持向量机 - 分层聚类 - DBSCAN - 主成分分析（PCA） - 模型部署 - 及更多内容！ 我们始终感激有机会教您数据科学、机器学习和Python，并希望您能加入我们，以提升您的技能！-Jose和Pierian Data Inc.团队
This is the most complete course online for learning about Python, Data Science, and Machine Learning. Join Jose Portilla's over 3 million students to learn about the future today!What is in the course?Welcome to the most complete course on learning Data Science and Machine Learning on the internet! After teaching over 2 million students I've worked for over a year to put together what I believe to be the best way to go from zero to hero for data science and machine learning in Python!This course is designed for the student who already knows some Python and is ready to dive deeper into using those Python skills for Data Science and Machine Learning. The typical starting salary for a data scientists can be over $150,000 dollars, and we've created this course to help guide students to learning a set of skills to make them extremely hirable in today's workplace environment.We'll cover everything you need to know for the full data science and machine learning tech stack required at the world's top companies. Our students have gotten jobs at McKinsey, Facebook, Amazon, Google, Apple, Asana, and other top tech companies! We've structured the course using our experience teaching both online and in-person to deliver a clear and structured approach that will guide you through understanding not just how to use data science and machine learning libraries, but why we use them. This course is balanced between practical real world case studies and mathematical theory behind the machine learning algorithms.We cover advanced machine learning algorithms that most other courses don't! Including advanced regularization methods and state of the art unsupervised learning methods, such as DBSCAN.This comprehensive course is designed to be on par with Bootcamps that usually cost thousands of dollars and includes the following topics:Programming with PythonNumPy with PythonDeep dive into Pandas for Data AnalysisFull understanding of Matplotlib Programming LibraryDeep dive into seaborn for data visualizationsMachine Learning with SciKit Learn, including:Linear RegressionRegularizationLasso RegressionRidge RegressionElastic NetK Nearest NeighborsK Means ClusteringDecision TreesRandom ForestsNatural Language ProcessingSupport Vector MachinesHierarchal ClusteringDBSCANPCAModel Deploymentand much, much more!As always, we're grateful for the chance to teach you data science, machine learning, and python and hope you will join us inside the course to boost your skillset!-Jose and Pierian Data Inc. Team
