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Unsupervised Machine Learning using R

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Total Duration
12 Hours

Unsupervised learning methods are central to your journey in data science. Learn how to reduce the number of dimensions in your data set, aggregate data into factors, and cluster your data points to make clear, robust conclusions about your data!

Courses in this Learning Path
1
Unsupervised Learning in R
DataCamp Course via DataCamp
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Duration : 4 hours
Price :₹1,093
Level :Intermediate
Learn Type :Certification
Unsupervised Learning in R

Machine learning is often used to find patterns in data. It is impossible to predict the future. This is unsupervised learning. This can be used to identify the unsupervised learning that is being done to target marketing campaigns by grouping consumers based on their buying history and demographics. Another example is to determine the unmeasured factors that affect differences in crime rates …

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2
Cluster Analysis in R
DataCamp Course via DataCamp
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Duration : 4 hours
Price :₹1,093
Level :Intermediate
Learn Type :Certification
Cluster Analysis in R

Cluster analysis is an important tool within the data science toolset. It is used to identify clusters that share similar characteristics. These similarities can be used to help you make better business decisions. It can also help you target different customers in marketing. This course will cover both hierarchical clustering and k-means clustering. These methods will teach you not only how to …

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3
Factor Analysis in R
DataCamp Course via DataCamp
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Duration : 4 hours
Price :₹1,093
Level :Intermediate
Learn Type :Certification
Factor Analysis in R

Many variables are not easily quantifiable. You might be interested in a construct such as math ability, personality traits, or workplace climate. When investigating constructs like these, it is important to build a model that matches both your data and theories. This course will help you understand dimensionality and perform exploratory and confirmatory factor analyses. These statistical …

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