Clustering, Association Rule Mining, and Dimensionality Reduction Techniques
Course Description:
What you’ll learn
- Apply clustering algorithms to college scorecard data.
- Apply association rule mining to a set of products that customers have subscribed to.
- Apply dimensionality reduction techniques in preparation for clustering analyses.
- Use the R programming language to accomplish unsupervised machine learning tasks.
Course Content
- Introduction –> 5 lectures • 11min.
- Unsupervised Learning: Clustering –> 7 lectures • 1hr 7min.
- Unsupervised Learning: Dimensionality Reduction –> 4 lectures • 23min.
- Unsupervised Learning: Association Rule Mining (aka Market Basket Analysis) –> 7 lectures • 32min.
Requirements
Course Description:
Welcome to “Unlocking the Secrets of Data: Unsupervised Learning with R”, a comprehensive and engaging journey into the world of unsupervised machine learning using the powerful R programming language.
Who This Course Is For:
This course is meticulously designed for a wide range of learners – whether you are stepping into the realm of data science, seeking to enhance your programming skills in R, or a professional looking to delve into the specifics of unsupervised learning algorithms.
What You Will Learn:
- Fundamentals of Unsupervised Learning: Grasp the core concepts and different approaches of unsupervised learning in data science.
- R Programming Deep Dive: Whether you’re starting fresh or brushing up, you’ll gain a strong command of R, a language pivotal in data analysis and machine learning.
- Key Algorithms and Techniques: Explore essential algorithms like hierarchical clustering, association rules, and Principal Component Analysis (PCA).
- Real-world Data Projects: Apply your knowledge to real-world datasets, uncovering hidden patterns and gaining practical, hands-on experience.
- Interactive Learning Experience: Engage with coding challenges, enhancing your learning experience.
- Community and Support: Join a vibrant community of learners and experts. Participate in discussions, share insights, and get the support you need to excel.
Why Choose This Course:
- Tailored Content: Content designed to cater to both beginners and those with prior knowledge, ensuring a comprehensive learning curve.
- Practical and Theoretical Balance: A well-balanced blend of theoretical knowledge and practical application.
- Video Lectures: Unique video based learning that demonstrates live coding sessions.
- Flexible Learning: Learn at your own pace with access to all course materials and community support.
Embark on this journey to master unsupervised learning with R and transform the way you understand and leverage data. Whether it’s for career advancement, academic pursuits, or personal interest, “Unlocking the Secrets of Data: Unsupervised Learning with R” is your key to unlocking the potential of data science.
Enroll now and start your journey towards gaining expertise in unsupervised learning using R!