Learning Data Mining with R – Teaching Data Mining with R
A complete course to help you learn all the relevant aspects of data mining using R.
Use powerful R libraries to effectively maximize your data.
A good level of knowledge and an understanding of the Gain data mining disciplines to solve real-world challenges in R
This hands-on tutorial covers topics in three dimensions: the mathematical Foundations, the actual implementation in R, and practical examples.
Data mining is a growing demand in the market as the world generates data at an increasing pace. R is a popular programming language for statistics. It can be used for day-to-day data analysis tasks.
Data mining is a very broad topic and takes some time to learn. This course will help you to understand the mathematical basics quickly, and then you can directly apply what you’ve learned in R. This course covers each and every aspect of data mining in order to prepare you for real-world problems. You will come to understand the different disciplines in data mining. In every discipline, there is a variety of different algorithms. At least one algorithm of the various classes of algorithms will be covered to give you a foundation for further applying your knowledge to dive deeper into the different algorithms flavors.
– Section 1: Getting Started – A Motivating Example
– Section 2: Clustering – A Dating App for Your Data Points
– Section 3: R Deep Dive, Why Is It Really Cool?
– Section 4: Association Rule Mining
– Section 5: Classification
– Section 6: Clustering
– Section 7: Cognitive Computing and Artificial Intelligence in Data Mining
Manufacturer: Yudomi / Udemy
Teacher: Packt Publishing
Training time: 2 hours + 30 minutes
File Size: 273 MB
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