Linear Discriminant Analysis Applications
This free Linear Discriminant Analysis Applications course will introduce you to the world of data science. Explore the practical application of LDA, key components of machine learning. Enroll in this intermediate course.
Ratings
Level
Learning hours
Learners
Skills you’ll Learn
About this course
Learn about the practical applications of Linear Discriminant Analysis (LDA) in this comprehensive course. LDA is a useful tool for reducing the number of attributes in data sets, a key component of Machine Learning. Companies like Google, Uber, and Ola have been utilizing ML techniques to improve their models, and this course will teach you the importance and usage of LDA.
You will thoroughly understand feature selection with LDA, demonstrated through a hands-on example using the Pokémon dataset.
Also, Great Learning has collaborated with renowned universities such as MIT, NUS, and PES University to provide advanced data science and machine learning training. Join this data science course and take your skills to the next level, becoming a professional data scientist or machine learning engineer.
Course Outline
Frequently Asked Questions
What are the prerequisites required to learn this Linear Discriminant Analysis Applications course?
The prerequisites required to learn this Linear Discriminant Analysis Applications courses are python and machine learning basics
Will I get a certificate after completing this Linear Discriminant Analysis Applications free course?
Yes, you will get a certificate of completion for Linear Discriminant Analysis Applications after completing all the modules and cracking the assessment. The assessment tests your knowledge of the subject and badges your skills.
How much does this Linear Discriminant Analysis Applications course cost?
It is an entirely free course from Great Learning Academy. Anyone interested in learning the basics of Linear Discriminant Analysis Applications 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 Linear Discriminant Analysis Applications 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.
Recommended Free Data Science courses
Related Data Science Courses
-
12 weeks · Online
Know More
-
MIT Professional Education
Applied Data Science Program12 Weeks · Live Virtual · Weekdays & Weekend
Know More
-
University of Texas - McCombs
PG Program in Data Science and Business Analytics7 Months · Online · Weekend
Know More
Popular Upskilling Programs
-
University of Texas - McCombs
PG Program in Artificial Intelligence and Machine Learning7 Months · Online · Weekend
Know More
-
MIT Professional Education
No Code AI and Machine Learning: Building Data Science Solutions12 Weeks · Online · Weekend
Learn from MIT FacultyKnow More
-
MIT Professional Education
Applied Data Science Program12 Weeks · Live Virtual · Weekdays & Weekend
Know More
-
12 weeks · Online · Weekend
Learn from MIT FacultyKnow More
-
University of Texas - McCombs
PG Program in Data Science and Business Analytics7 Months · Online · Weekend
Know More
-
University of Texas - McCombs
PG Program in Cloud Computing6 months · Online · Weekend
360° Cloud LearningKnow More
Relevant Career Paths >
Other Data Science tutorials for you
Linear Discriminant Analysis (LDA) is a machine learning algorithm that is used for dimensionality reduction and classification of data. LDA projects data points onto a lower-dimensional space, while maximizing the separation between classes, which makes it useful in a variety of applications.
LDA can be used for feature extraction, which involves reducing the number of features in a dataset while preserving the most relevant information. This is particularly useful in cases where there are many features but few data points, as it can reduce the risk of overfitting and improve the performance of machine learning models.
LDA can also be used for classification, where it is used to predict the class of new data points based on their features. It is commonly used in areas such as image recognition, speech processing, and natural language processing.
Learning Linear Discriminant Analysis Applications is useful for anyone interested in machine learning, data analysis, and artificial intelligence. By understanding how LDA works and its various applications, you can better understand how to analyze and classify complex data sets. This can help you to develop more accurate machine learning models, improve your decision-making processes, and enhance your employability in today's data-driven economy.
Great Learning's free online course on Linear Discriminant Analysis Applications is an excellent resource for anyone looking to learn about this powerful machine learning algorithm. Here are some reasons why you should consider taking this course:
- Comprehensive coverage: The course covers all the essential topics related to LDA, including feature extraction, classification, and dimensionality reduction, among others.
- Hands-on learning: The course includes practical exercises that allow you to apply what you've learned in real-world situations. This helps reinforce your understanding of the material and build practical skills you can use in your work.
- Expert instructors: The course is taught by experienced instructors who deeply understand the subject matter and can provide valuable insights and guidance.
- Flexible learning: The course is designed to be flexible, allowing you to learn at your own pace and on your own schedule. You can access the course materials anytime and from anywhere, making it easy to fit into your busy life.
- Career advancement: By learning about LDA through this course, you can enhance your skills and knowledge in machine learning and data analysis, which can open up new career opportunities and help you advance in your current role.
Overall, Great Learning's free online course on Linear Discriminant Analysis Applications is an excellent choice for anyone looking to learn more about this powerful machine learning algorithm. With its comprehensive coverage, hands-on learning, expert instructors, flexible format, and career advancement potential, this course greatly invests in your professional development.