Udemy Coupon for Feature Selection for Machine Learning. Find Out Other Machine Learning Courses and Tutorials from Udemy Learning with Discount Coupon Codes. Learn filter, wrapper, and embedded methods, recursive feature elimination, exhaustive search, feature shuffling & more.
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Feature Selection for Machine Learning
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Complete A.I. & Machine Learning, Data Science Bootcamp
Feature Selection for Machine Learning
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?
This course will help you! This is the most comprehensive online course in variable selection. You will learn a huge variety of feature selection procedures used worldwide in different organizations and in data science competitions, to select the most predictive features.
In this Machine Learning Course you will learn?
- Learn about filter, embedded and wrapper methods for feature selection
- Find out about hybdrid methods for feature selection
- Select features with Lasso and decision trees
- Implement different methods of feature selection with Python
- Learn why less (features) is more
- Reduce the feature space in a dataset
- Build simpler, faster and more reliable machine learning models
- Analyse and understand the selected features
- Discover feature selection techniques used in data science competitions
Feature Selection for Machine Learning
- Instructor: Soledad Galli and Train in Data Team
- Duration: 5 hours 50 minutes
- Language: English, Korean [Auto], Vietnamese [Auto]
- Source: Udemy
