Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
5 Hour(s) 34 Minute(s)
Language
English
Taught by
Rajat Raj Aggarwal
Certificate
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
3 views
Course Overview
learn the basics of clustering and R
This course would get you started with clustering, which is one of the most well known machine learning algorithm, Anyone looking to pursue a career in data science can use the clustering concepts and techniques taught in this course to gain the necessary skill for processing and clustering any form of data. In addition, the course would familiarize you with R, which is becoming the default programming language for processing data among the global companies.
Course Content
- 7 section(s)
- 42 lecture(s)
- Section 1 Course Preview, Understanding the Basics of Clustering
- Section 2 Popular distance Measure - Euclidean & Hamming/ Kmeans Clustering in R
- Section 3 Understand Partitioning Around Medoids, Hierarchical form of Clustering
- Section 4 Understand clustering process of binary data, Kmodes clustering
- Section 5 Density-based clustering, cluster ordinal data, find replacement for empty cell
- Section 6 Determine ideal number of clusters, daisy function to cluster mixed data
- Section 7 Goodbye
What You’ll Learn
- Basics of clustering and R, various clustering techniques, Machine Learning
Reviews
-
HHannu Koistinen
Proper English would be more appropriate. Not that Indian accent!!!
-
AAnnonymous Person
I thought of being mean and adding 1star until you add a lesson 6.1 for how to manually choose which variable is base or descriptive e.g. is churn 1/0 a base or descriptive and is rating 1 to 10 a base or descriptive? I feel they can be both depending on situation? If so please add a lesson to tell us how to label the variable with examples for different situations, this topic confuses me. Thank you sir.
-
BBrendon Cassar
Material was interesting, extensive and carefully explained. Delivery a bit monotonous at times but gets the job done
-
IIan Greener
Very clear, especially in early examples. I would have liked a little more on the daisy function, and there are a couple of small presentational errors. Other than that, very good.
