Soledad Galli
Welcome to Feature Selection for Machine Learning, the most comprehensive course on feature selection available online.
In this course, you will learn how to select the variables in your data set and build simpler, faster, more reliable and more interpretable machine learning models.
Who is this course for?
You ve given your first steps into data science, you know the most commonly used machine learning models, you probably built a few linear regression or decision tree based models. You are familiar with data pre–processing techniques like removing missing data, transforming variables, encoding categorical variables. At this stage you ve probably realized that many data sets contain an enormous amount of features, and some of them are identical or very similar, some of them are not predictive at all, and for some others it is harder to say.
You wonder how you can go about to find the most predictive features. Which ones are OK to keep and which ones could you do without? You also wonder how to code the methods in a professional manner. Probably you did your online search and found out that there is not much around there about feature selection. So you start to wonder: how are things really done in tech companies?
Instructor Details
Courses : 3
Specification: Feature Selection for Machine Learning
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20 reviews for Feature Selection for Machine Learning
Add a review
| Price | $18.99 |
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| Provider | |
| Duration | 5 hours |
| Year | 2021 |
| Level | Intermediate |
| Language | English |
| Certificate | Yes |
| Quizzes | No |
$18.99
Sergio Marrero Marrero –
The course is excellent.
Farhan Romli –
It is brief and easy to understand. if you don’t like to hear a lot about theories, this might be a good course for you.
Sravan Kumar Yeturu –
Amazing course with lots of details and well documented too
Tri Juliansyah Muharam Sambas –
No, the beginning of the course is too slow.
Lioneltay –
The course shows a wide range of feature selection options while also addressing the pros and cons of each method as well as the conditions. For those who have just started learning machine learning, this can give you a wholistic options on feature selection. Nevertheless, you might have to understand some statistical concepts and the mechanism behind some ML models. For experienced data scientists, you might learn a few alternative methods.
Sarigiannis Dimitrios –
It was as excpected
Graciano Patino –
Great course of the feature selection subject for machine learning! This course includes coverage of several of the techniques for feature selection. This course also is a great complement to the Feature Engineering and Deployment of Machine Learning Models courses by the same author.
Prashant Piyush –
The concepts are presented in a concise and clear manner. All the related points are explained thoroughly. Good course to get an overview of feature selection methods for beginners.
Khanh Luu –
Very thorough. I have learnt. Thank you.
Attila Zabos –
Awesome course. A very good compilation of feature engineering topics something that is mandatory for machine learning but often neglected or not explained in detail in other courses.
Sanjukta sethi –
nice course like it
Md. Zahid A A Sayed –
It gives loads of information to work on and improve. Really helpfull and would recommend all interested to take this course to improve your abilities.
Fernando Alves Monteiro –
Excelente curso, excelente material e excelente did tica!
Lola Perez –
The material is highly interesting for the kind of work that I do. I really enjoyed the examples of the lessons.
Chowdhury Erfan Shourov –
Just what I needed! Excellent.
David Sun –
This course is very comprehensive and systematic. I like the teaching style of the instructor. Thanks for this wonderful course!
Nima Sarajpoor –
The context has been simplified so it can be understood better and the lecturer has broad knowledge on this topic.
Luis Felipe Barrera Salamanca –
Excellent course to improve the feature selection techniques.
Abha Singh Sardar –
I have just started this course, can’t judge it by the introductory videos.
Ilya Ekhlakov –
This is amazing and pretty useful in practice cource with crystal clear explanation of theoretical background and code