Feature Selection for Machine Learning هذه الدورة تدرس باللغة الإنجليزية

تفاصيل الدورة

Learn how to select features and build simpler, faster and more reliablemachine 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 instructors 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 course starts describing simple and fast methods to quickly screen the data set and remove redundant and irrelevant features.Then it describes more complextechniquesthat select variables taking into account variable interaction, the feature importance and its interaction with the machine learning algorithm. Finally, it describes specific techniques used in data competitions and the industry.

The lectures includean explanation of the feature selection technique, the rationale to use it, and the advantages and limitations of the procedure. It also includes full codethat you cantake home and apply to your own data sets.

This courseis 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.

Withmore than 50 lecturesand 8hours of video this comprehensive coursecovers 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.