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Feature Engineering
Learn feature engineering from basics in this free online training. This course is taught hands-on by experts. Learn about goal of feature engineering and its process in details. Best for beginners. Enroll for free now!
Feature Engineering
3.1K+ learners enrolled so far
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Skills you will gain
Process of feature engineering
Feature engineering techniques
Correlation matrix
Model performance analysis
Feature engineering demo using a real-life dataset
Key Highlights

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About this course
Understanding what parameters or features has what level of impact on the solution to a Machine Learning problem statement is key. If the talk is about using machine learning to solve a problem, then providing the algorithm with high-quality features is what makes the difference between a raw machine learning model and a very well-optimized one. Feature engineering is the most critical aspect of working with data and helping the machine understand the same. This is a skill that all analysts, data scientists, and machine learning engineers must possess. Now, keeping exactly this in mind, we have come up with this course on Feature Engineering to get you all started with the same. The instructor will also be covering a hands-on demonstration with an ample amount of examples to help concrete your understanding.
Course outline
Understanding Feature Engineering
Goal of Feature Engineering
Process of Feature Engineering
Various Feature Engineering Techniques
Correlation Matrix and Data Handling
Diabetes prediction using Multiple Features
Get access to the complete curriculum once you enroll in the course
Stand out with an industry-recognized certificate

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Feature Engineering
4.58
2.25 Hours
Intermediate
3.1K+ learners enrolled so far

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Master in-demand skills & tools

Test your skills with quizzes
What our learners enjoyed the most
Skill & tools
64% of learners found all the desired skills & tools
Frequently Asked Questions
Will I receive a certificate upon completing this free course?
Is this course free?
What is a Feature Engineering Example?
The most common Feature Engineering example is continuous data like the price of some products, coordinates of some object on the map, or the temperature of some industrial processes. You can also take examples of domain data, categorical data, etc.
What does Feature Engineering include?
Feature Engineering involves the creation, transformation, extraction, and selection of the features. These features are also known as variables, and these features help create an accurate Machine Learning Algorithm.
What is the purpose of Feature Engineering?
Feature Engineering enhances the Machine Learning processes and helps in increasing the predictive power of these Machine Learning algorithms. This is achieved by creating the features from the raw data.
What are Feature Engineering Techniques?
Some of the critical Feature Engineering techniques include Imputation, Discretization, Categorical Encoding, Feature Splitting, Handling Outliers, Variable Transformations, Scaling, and Creating Features.
What are the two steps of Feature Engineering?
Feature Engineering consists of four main steps: Feature Creation, Transformations, Feature Extraction, and Feature Selection. The processes it includes are testing features, deciding on the features to be created, creating the features, testing the impact of the created features on the task, improving the created features if needed, and repeating this process until you reach your result.
How do I start as a Feature Engineer?
The first step towards becoming a Feature Engineer is to get familiar with the Data Science domain, specifically the Machine Learning techniques and algorithms. Through Feature Engineering, you will be able to enhance these Machine Learning techniques. You can also enroll in the free Feature Engineering course Great Learning offers and earn your free Feature Engineering certificate.
How much does this Feature Engineering course cost?
It is an entirely free course from Great Learning Academy. Anyone interested in learning the basics of Feature Engineering can get started with this course.
Is there any limit on how many times I can take this free course?
Once you enroll in the Feature Engineering course, you have lifetime access to it. So, you can log in anytime and learn it for free online.
Can I sign up for multiple courses from Great Learning Academy at the same time?
Yes, you can enroll in as many courses as you want from Great Learning Academy. There is no limit to the number of courses you can enroll in at once, but since the courses offered by Great Learning Academy are free, we suggest you learn one by one to get the best out of the subject.
Why choose Great Learning Academy for this free Feature Engineering course?
Great Learning Academy provides this Feature Engineering course for free online. The course is self-paced and helps you understand various topics that fall under the subject with solved problems and demonstrated examples. The course is carefully designed, keeping in mind to cater to both beginners and professionals, and is delivered by subject experts. Great Learning is a global ed-tech platform dedicated to developing competent professionals. Great Learning Academy is an initiative by Great Learning that offers in-demand free online courses to help people advance in their jobs. More than 5 million learners from 140 countries have benefited from Great Learning Academy's free online courses with certificates. It is a one-stop place for all of a learner's goals.
What are the steps to enroll in this Feature Engineering course?
Enrolling in any of the Great Learning Academy’s courses is just one step process. Sign-up for the course, you are interested in learning through your E-mail ID and start learning them for free online.
Will I have lifetime access to this free Feature Engineering course?
Yes, once you enroll in the course, you will have lifetime access, where you can log in and learn whenever you want to.
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