Mixture Models in R
Learn mixture models: a convenient and formal statistical framework for probabilistic clustering and classification.
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
Learn mixture models: a convenient and formal statistical framework for probabilistic clustering and classification.
In this course, you'll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.
Strengthen your knowledge of the topics covered in Manipulating Time Series in R using real case study data.
This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.
In this course, you will be introduced to unsupervised learning through techniques such as hierarchical and k-means clustering using the SciPy library.