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After finishing this course, you can choose the professional Machine Learning course that will help you build your career in the trending field of technology. In addition, you can also go for an Analytics course to learn advanced skills in PCA.

Yes. The principal component analysis is a powerful technique used for the processing of data in Supervised Learning. It is useful for reducing the dimensionality of data, especially for large datasets.

PCA is a popular machine learning technique used to reduce the dimensionality of data. It is very useful in increasing interpretability as well as minimizing information loss.

The main reason behind the popularity of PCA is that it helps reduce the data's dimensionality. The very useful feature of PCA in the dataset is that it makes easy plotting of data in 2D and 3D. 

PCA is used in Unsupervised Machine Learning, and the demand for Machine learning skills is on trend nowadays. So, if you are familiar with PCA, then it will benefit you in Machine Learning skills and ultimately in getting a job. 

Yes, you will get a course completion certificate after this course. But in order to avail the certificate, you will have to qualify the quiz or the assignment after finishing the course content. After qualifying the quiz, the certificate will be available in your Profile dashboard within 24 hours.

This course is beneficial for students who are interested in Machine Learning. It covers the hypothesis and predictions that are very useful in Machine Learning. The students will learn about data collection, specification, and creating prediction models for the analysis of data. 

The PCA course is completely free from Great Learning Academy, and anyone interested in Machine Learning can enroll in this course and start learning.

No, there’s no limit to the number of times you can take the course.

Yes, you can sign up for as many courses as you want to learn from Great Learning Academy. These courses are self-paced, so you can also finish these courses at any time of your convenience.

Great Learning Academy is a large platform that provides education in various domains globally. It helps in the development of one’s professional career. There are more than 5 Million learners worldwide who benefitted from Great Learning courses in their careers. So, you can choose Great Learning Academy for this free course as the trainers of Great Learning are highly qualified and experienced. This provides a comprehensive curriculum to boost your knowledge in PCA.

There are no eligibility criteria for enrolling in this course. Anyone interested in Principal component analysis and machine learning can enroll in this course for free.

You can follow the steps below to enroll in this course:

1. Click on the “Enroll for free” button on the course page. 

2. Create an account on the Great Learning platform by providing your email id and other required details.

3. After that, you are successfully enrolled in the course, and you can access it anytime from your dashboard.