Python中的支持向量机：SVM概念与源代码视频教程 (英文)

Python中的支持向量机：SVM概念与源代码

最后更新日期：2024年5月 时长：6小时20分钟 | 视频格式：.MP4, 1920×1080 30 fps | 音频格式：AAC, 48 kHz, 2声道 | 大小：2.4 GB 类别：在线学习 | 语言：英语

学习在Python中使用支持向量机。从基础SVM模型到基于核函数的高级SVM模型，涵盖机器学习的各个方面。

您将学到的内容

• 牢固理解支持向量机（SVM）
• 了解支持向量机（SVM）适用的业务场景
• 调整机器学习模型的超参数并评估其性能
• 使用支持向量机（SVM）进行预测
• 在Python中实现SVM模型

课程要求

学生需要安装Python和Anaconda软件，但我们有单独的讲解帮助您安装。

课程描述

您是否在寻找一门完整的支持向量机课程，教您在Python中创建支持向量机模型的所有内容？ 您找对了！

这门课程将如何帮助您？ 所有完成这门机器学习高级课程的学生将获得一份可验证的结业证书。如果您是业务经理或高管，或是希望学习并将机器学习应用于实际业务问题的学生，这门课程将通过教授支持向量机的高级技术为您打下坚实的基础。

为什么选择这门课程？

这门课程涵盖了解决业务问题时应采取的所有步骤。大多数课程只关注如何进行分析，但我们认为，在进行分析之前和之后的步骤同样重要。进行分析前，必须确保数据正确并进行预处理。分析后，您应能够评估模型的效果并解释结果，以真正帮助您的业务。

我们有什么资格教您？

课程由Abhishek和Pukhraj教授。作为全球分析咨询公司的经理，我们帮助企业通过机器学习技术解决业务问题，并在本课程中结合了数据分析的实际应用经验。我们还创建了一些最受欢迎的在线课程，拥有超过150,000次注册和成千上万的五星评价。

“这门课程非常好，我喜欢所有的解释都能被外行理解。”——Joshua
“感谢作者的精彩课程。您是最棒的，这门课程值任何价格。”——Daisy

我们的承诺

教学是我们的工作，我们致力于此。如果您对课程内容、练习表或任何相关话题有任何问题，可以随时在课程中提问或直接发送消息给我们。

下载练习文件，参加测验，完成作业

每节课都有附带的课堂笔记供您参考。您还可以通过测验检查对概念的理解。每个部分包含一个实践作业，让您实际应用所学内容。

点击注册按钮，我将在第一课见到您！ 祝好
Start-Tech学院

课程适合对象

• 追求数据科学职业的人
• 刚开始数据之旅的在职专业人士
• 需要更多实际经验的统计学家
• 任何希望在短时间内从初学者到高级掌握SVM技术的人

Support Vector Machines in Python: SVM Concepts & Code

Last updated 5/2024
Duration: 6h 20m | Video: .MP4, 1920×1080 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 2.4 GB
Genre: eLearning | Language: English

Learn Support Vector Machines in Python. Covers basic SVM models to Kernel-based advanced SVM models of Machine Learning

What you’ll learn
Get a solid understanding of Support Vector Machines (SVM)
Understand the business scenarios where Support Vector Machines (SVM) is applicable
Tune a machine learning model’s hyperparameters and evaluate its performance.
Use Support Vector Machines (SVM) to make predictions
Implementation of SVM models in Python

Requirements
Students will need to install Python and Anaconda software but we have a separate lecture to help you install the same

Description
You’re looking for a complete
Support Vector Machines course
that teaches you everything you need to create a Support Vector Machines model in Python, right?
You’ve found the right

Support Vector Machines techniques course!
How this course will help you?
A
Verifiable Certificate of Completion
is presented to all students who undertake this Machine learning advanced course.
If you are a business manager or an executive, or a student who wants to learn and apply machine learning in Real world problems of business, this course will give you a solid base for that by teaching you some of the advanced technique of machine learning, which are Support Vector Machines.
Why should you choose this course?
This course covers all the steps that one should take while solving a business problem through Decision tree.
Most courses only focus on teaching how to run the analysis but we believe that what happens before and after running analysis is even more important i.e. before running analysis it is very important that you have the right data and do some pre-processing on it. And after running analysis, you should be able to judge how good your model is and interpret the results to actually be able to help your business.
What makes us qualified to teach you?
The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using machine learning techniques and we have used our experience to include the practical aspects of data analysis in this course
We are also the creators of some of the most popular online courses – with over 150,000 enrollments and thousands of 5-star reviews like these ones
This is very good, i love the fact the all explanation given can be understood by a layman – Joshua
Thank you Author for this wonderful course. You are the best and this course is worth any price. – Daisy
Our Promise
Teaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message.
Download Practice files, take Quizzes, and complete Assignments
With each lecture, there are class notes attached for you to follow along. You can also take quizzes to check your understanding of concepts. Each section contains a practice assignment for you to practically implement your learning.
Go ahead and click the enroll button, and I’ll see you in lesson 1!
Cheers
Start-Tech Academy
Who this course is for
People pursuing a career in data science
Working Professionals beginning their Data journey
Statisticians needing more practical experience
Anyone curious to master SVM technique from Beginner to Advanced in short span of time

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