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所在平台: Udemy |
课程主页: https://www.udemy.com/course/r-ultimate-learn-r-for-data-science-and-machine-learning/
课程评论：没有评论
课程名称：R终极指南2024：用于数据科学和机器学习的R语言 课程概述： 本课程旨在帮助您掌握使用R语言进行数据分析的技能，深入挖掘商业关键数据所蕴含的洞察力，或者为在这一令人激动的领域找到工作做好准备。我们将从R语言的基础知识开始，例如数据类型和结构、循环和函数的编程，以及数据的输入和输出。 接下来，我们将深入数据分析，学习如何通过过滤、汇总结果、重塑数据、集合操作和数据集连接来操作数据。同时，我们将探索不同的可视化技术以展示复杂数据，包括交互式时间序列数据和地理空间数据。我们还将学习高级数据操作技术，例如异常值检测、缺失数据处理和正则表达式。 课程涵盖机器学习的各个领域，包括回归和分类技术、聚类、关联规则、强化学习，以及最重要的深度学习，包括回归和分类、卷积神经网络、自编码器和递归神经网络等。您还将学习如何开发和部署R/Shiny的Web应用程序。 在每个领域，我们将详细介绍不同的算法，其核心概念将在基础课程中呈现。在实验课中，我们将共同实现这些算法，您将有机会在自己完成练习后观看我的解决方案示例。通过这些知识，您将能够清晰识别手头的问题，并制定解决方案。 您将理解不同模型的优缺点，以及何时使用哪种模型。此外，您还将掌握如何将所学知识应用于实际。在课程中，您将访问一个互动学习平台，帮助您更好地理解概念。课程中的代码将通过共同开发实现，了解每一行代码的意义和实现方法。 本课程提供30天退款保证，因此您可以无风险地立即报名参加。不要再犹豫，期待在课程中与您见面！
You want to be able to perform your own data analyses with R? You want to learn how to get business-critical insights out of your data? Or you want to get a job in this amazing field? In all of these cases, you found the right course!We will start with the very Basics of R, like data types and -structures, programming of loops and functions, data im- and export.Then we will dive deeper into data analysis: we will learn how to manipulate data by filtering, aggregating results, reshaping data, set operations, and joining datasets. We will discover different visualisation techniques for presenting complex data. Furthermore find out to present interactive timeseries data, or interactive geospatial data.Advanced data manipulation techniques are covered, e.g. outlier detection, missing data handling, and regular expressions.We will cover all fields of Machine Learning: Regression and Classification techniques, Clustering, Association Rules, Reinforcement Learning, and, possibly most importantly, Deep Learning for Regression, Classification, Convolutional Neural Networks, Autoencoders, Recurrent Neural Networks,...You will also learn to develop web applications and how to deploy them with R/Shiny.For each field, different algorithms are shown in detail: their core concepts are presented in 101 sessions. Here, you will understand how the algorithm works. Then we implement it together in lab sessions. We develop code, before I encourage you to work on exercise on your own, before you watch my solution examples. With this knowledge you can clearly identify a problem at hand and develop a plan of attack to solve it.You will understand the advantages and disadvantages of different models and when to use which one. Furthermore, you will know how to take your knowledge into the real world.You will get access to an interactive learning platform that will help you to understand the concepts much better. In this course code will never come out of thin air via copy/paste. We will develop every important line of code together and I will tell you why and how we implement it.Take a look at some sample lectures. Or visit some of my interactive learning boards. Furthermore, there is a 30 day money back warranty, so there is no risk for you taking the course right now. Don't wait. See you in the course.
