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所在平台: Udemy |
课程主页: https://www.udemy.com/course/machine-learning-made-easy-beginner-to-advance-using-r/
课程评论：没有评论
课程名称：机器学习轻松入门：从初学者到高级使用R 课程概述：想知道机器学习算法是如何工作的以及人们如何应用它们解决数据科学问题吗？您来对地方了！该课程由在这一领域工作近十年的专业数据科学家创建、设计和组装。我们将帮助您理解复杂的机器学习算法，同时保持与实际商业和数据科学问题的紧密联系。在课程中，您将感觉到水的温度，并得到指导，成为数据科学和机器学习领域的专家。每个教程都将通过挑战您的能力来提高您的技能，让您能够不断自我提升。我们相信，您在我们经过验证的课程结构中学习时会感到有趣，期待接下来的内容。 课程结构： 第一部分 - R编程入门：您将学习R编程的基础知识，熟悉R环境。能够导入、导出、探索、清洗和准备数据以进行高级建模。理解数据的基本统计学以及如何报告/文档化见解。 第二部分 - 使用R进行机器学习：学习、提升并掌握经典的机器学习算法，如线性回归、逻辑回归和决策树。学习针对特定问题选择哪种算法，构建多个模型，选择最佳模型并提升其性能。进一步学习高级机器学习算法，如支持向量机（SVM）、人工神经网络、强化学习、随机森林和提升算法，以及聚类算法如K均值。 课程特点： - 配备丰富的实验室环节，包括学习和自我实践。 - 课程中每个部分开始时提供R代码、数据集和其他支持材料，供您下载和自主使用。 - 每个部分后都有测验，以检验您的学习成果。 - 附加内容：课程包含5个与不同领域相关的真实数据项目，为您准备解决多种商业问题。这些项目将作为一步一步的指南，帮助您解决不同的商业与数据科学问题。 欢迎您参与这门课程，拓展您的机器学习知识和技能！
Want to know how Machine Learning algorithms work and how people apply it to solve data science problems? You are looking at right course! This course has been created, designed and assembled by professional Data Scientists who have worked in this field for nearly a decade. We can help you understand the complex machine learning algorithms while keeping you grounded to the implementation on real business and data science problems. We will let you feel the water and coach you to become a full swimmer in the realm of data science and Machine Learning. Every tutorial will increase your skill level by challenging your ability to foresee, yet letting you improve upon self. We are sure that you will have fun while learning from our tried and tested structure of course to keep you interested in what's coming next. Here is how the course is going to work: Part 1 - Introduction to R Programming. This is the part where you will learn basic of R programming and familiarize yourself with R environment. Be able to import, export, explore, clean and prepare the data for advance modeling. Understand the underlying statistics of data and how to report/document the insights. Part 2 - Machine Learning using R Learn, upgrade and become expert on classic machine learning algorithms like Linear Regression, Logistic Regression and Decision Trees. Learn which algorithm to choose for specific problem, build multiple model, learn how to choose the best model and be able to improve upon it. Move on to advance machine learning algorithms like SVM, Artificial Neural Networks, Reinforced Learning, Random Forests and Boosting and clustering algorithms like K-means. Features: Fully packed with LAB Sessions. One to learn from and one for you to do it yourself. Course includes R code, Datasets and other supporting material at the beginning of each section for you to download and use on your own. Quiz after each section to test your learning. Bonus: This course is packed with 5 projects on real data related to different domains to prepare you for wide variety of business problems.These projects will serve as your step by step guide to solve different business and data science problems.
