Descriptions
Machine Learning 4: Unsupervised Learning, This course is part 4 of a 4-part series designed to help you build a fundamental understanding of machine learning. You’ll start by reviewing the machine learning landscape, exploring the differences between supervised and unsupervised learning, and learning several of the most common unsupervised techniques including cluster analysis, association mining, outlier detection, and dimensionality reduction. Each concept is broken down in plain language to help you build intuition for how these models work, from k-means and apriori to outlier detection and principal component analysis. The course features unique demos and real-world case studies, showing how k-means can identify customer segments, how apriori can be used for basket analysis and recommendation engines, and how outlier detection can spot anomalies in cross-sectional or time-series datasets. If you’re ready to build the foundation for a successful career in data science, this is the course for you.
What you’ll learn
- Review the machine learning landscape and key differences between supervised and unsupervised learning
- Understand and apply cluster analysis, association mining, outlier detection, and dimensionality reduction
- Build intuition for how unsupervised models work, including k-means, apriori, and principal component analysis
- Use real-world demos and case studies to connect concepts to practical business scenarios
Who this course is for
- Aspiring data scientists seeking a strong foundation in unsupervised learning
- Business analysts and professionals wanting to apply machine learning concepts without coding
- Anyone interested in practical, Excel-based approaches to machine learning
Specificatoin of Machine Learning 4: Unsupervised Learning
- Publisher : Maven Analytics
- Teacher : Josh MacCarty
- Language : English
- Level : All Levels
- Duration : 4 hours and 30 minutes
Content of Machine Learning 4: Unsupervised Learning
Requirements
- We’ll use Microsoft Excel (Office 365 Pro Plus) for demos, but you are not required to follow along
Pictures
Sample Clip
Installation Guide
Extract the files and watch with your favorite player
Subtitle : English
Quality: 1080p
Download Links
Downloadly
Rapidgator
Password file(s): www.downloadly.ir
File size
289 MB
