机器学习中特征选取视频教程Feature Selection In Machine Learning

课程介绍：

学习如何选择功能并构建更简单、更快和更可靠的机器学习模型。

这是最全面，但很容易遵循，课程的特点选择网上提供。在本课程中，您将学习世界范围内用于变量选择的各种技术，这些技术来自数据竞赛网站和白皮书、博客和论坛，以及讲师作为数据科学家的经验。

您将在一个地方拥有多种方法，可以应用这些方法从数据集中选择特征。

讲座包括特征选择技术的解释，使用它的基本原理，以及程序的优点和局限性。它还包括完整的代码，您可以带回家应用到自己的数据集。

因此，本课程适用于希望学习如何从数据集中选择特征的数据科学初学者，以及寻求提高技能的中级甚至高级数据科学家。

超过50个讲座和6个小时的视频这个综合课程涵盖了变量选择的各个方面。在整个课程中，您将使用python作为主要语言。

MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 52 lectures (6 hour, 35 mins) | Size: 3.03 GB
filter methods , wrapper methods and embedded methods

What you’ll learn

Understand different methods of feature selection
Build simpler, faster and more reliable machine learning models
Reduce feature space in a dataset
Analyse and understand the selected features
Implement different methods of feature selection

Requirements

Python coding skills
Jupyter notebook installation
A Python installation

Description

Learn how to select features and build simpler, faster and more reliable machine learning models.

This is the most comprehensive, yet easy to follow, course for feature selection available online. Throughout this course you will learn a variety of techniques used worldwide for variable selection, gathered from data competition websites and white papers, blogs and forums, and from the instructor’s experience as a Data Scientist.

You will have at your fingertips, altogether in one place, multiple methods that you can apply to select features from your data set.

The lectures include an explanation of the feature selection technique, the rationale to use it, and the advantages and limitations of the procedure. It also includes full code that you can take home and apply to your own data sets.

This course is therefore suitable for complete beginners in data science looking to learn how to go about to select features from a data set, as well as for intermediate and even advanced data scientists seeking to level up their skills.

With more than 50 lectures and 6 hours of video this comprehensive course covers every aspect of variable selection. Throughout the course you will use python as your main language.

So what are you waiting for? Enrol today, learn how to select variables for machine learning, and build simpler, faster and more reliable learning models.

Who this course is for:

Beginner Data Scientists who want to understand how to select variables for machine learning
Intermediate Data Scientists who want to level up their experience in feature selection for machine learning
Data analysts who want to level up their skills in data science
Software engineers and academics stepping into data science
Software engineers and academics switching careers into data science
Advanced Data Scientists who want to discover alternative methods for feature selection