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所在平台: Udemy |
课程主页: https://www.udemy.com/course/machine-learning-journey/
课程评论：没有评论
**课程名称：** 机器学习之旅 **课程概述：** 本课程旨在为零基础的初学者揭开机器学习的神秘面纱。我们通过 Siri、Alexa、Google Play、Capital One、PayPal、Google Photos、YouTube、Amazon 和 FedEx 等实际应用案例，深入浅出地讲解机器学习算法如何赋能这些智能服务。 您将不仅理解机器学习的原理，还将亲自使用 Python 构建机器学习模型，并应用模型进行数据预测。此外，课程还教授如何验证模型准确性，确保模型的可靠性和可信度。 无论您是对机器学习感到好奇但畏惧数学，觉得追赶 ML 潮流已晚，还是认为 Python 编程和数据科学过于困难，本课程都为您量身打造。 **课程亮点：** * **搭建机器学习开发环境：** 学习如何配置 Anaconda、VSCode、Jupyter Notebooks 和 Python3，为构建和测试 ML 模型打下坚实基础。 * **ML 工程最佳实践：** 掌握机器学习工程的完美预处理模板，理解 One-Hot Encoding 的重要性和用法。 * **Python 数据科学库精通：** 熟练运用 NumPy、Pandas、Matplotlib 和 Seaborn 等 Python 库，构建出色的机器学习模型。 * **特征工程详解：** 深入理解特征缩放（Feature Scaling）的概念及其适用场景。 * **线性回归模型构建：** 分步学习 Simple Linear Regression（简单线性回归）、Multiple Linear Regression（多元线性回归）和 Polynomial Linear Regression（多项式线性回归）的构建方法。 **目标学员：** 本课程适合任何希望进入机器学习领域的人士，包括数据分析师、网络安全专业人士、大学生，以及寻求职业转型、渴望高薪工作的任何人。 **先修要求：** 无需任何机器学习或编程经验。 **立即加入，开启您的机器学习编码之旅！**
What does Siri, Alexa and Google Play have in common?How is Capital One and Paypal able to instantly detect fraudulent transfers?How is Google Photos able to identify faces in photos? How is Youtube able to make wickedly smart suggested videos?Or Amazon know what you want before you do?How does FexEx know the best routes and time of day to ship packages?These are all made possible through Machine Learning algorithms and in this course, you will not only understand them but you will actually BUILD machine learning models in Python. And you will use them to make predictions on data! Not only that, you will learn how to validate your models are accurate so you can prove to your peers and superiors that your models are trustworthy.Have always been a little interested in Machine Learning but have been a little intimidated by the math?Do you feel like you're way behind the times and it's too late to get in on the ML Hype?Maybe you feel like coding in Python and Data Science sounds too hard. Is that you?If you answered yes to any of those questions this course is for you. I built this course for complete beginners and had a blast building it for you guys.Here's a few of things you will build in this course:How to setup the perfect development environment for coding ML AlgorithmsHow to use Anaconda, VSCode, Jupyter Notebooks and Python3 to build and test accurate ML modelsHow to build the perfect preprocessing template for ML engineeringHow to understand what One Hot encoding is and why it's importantHow to use the Numpy, Pandas, Matplotlib and Seaborn Python libraries to build beautiful ML modelsUnderstanding Feature Scaling and when you would use it7 steps to understanding and building Simple Linear Regression models7 steps to understanding and building Multiple Linear Regression models7 steps to understanding and building Polynomial Linear Regression modelsIf you are a data analyst, cyber security professional, college student or just someone not happy in their current job looking for a lucrative career change, then this course is for you. Machine Learning isn't just a buzz word, it's a real set of tools people just like you are using to solve real business problems. It's not to late to get in on this rising trend.No prior Machine Learning or coding experience is required.Now is your time! Let's get coding shall we?
