Data Science

Data Mining

4.54 (83 Ratings)


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About this course

Data Mining is defined as the procedure of extracting information from huge sets of data. It is one of the most useful techniques that help entrepreneurs, researchers, and individuals to extract valuable information from huge sets of data. This course is about the concepts of Data Mining such as Anomaly detection and Regression Analysis along with the hands-on . The course starts with a basic overview and the terminologies involved in data mining and then gradually moves on to cover topics such as classification, regression, and prediction.

Skills covered

  • Outlier Detection
  • Regression Analysis

Course Syllabus

Data Mining

  • Overview of Machine Learning
  • Terminologies of Machine Learning
  • Hierarchical Clustering
  • Clustering in R
  • K Means Clustering
  • Market Basket Analysis
  • Introduction to Classification Techniques
  • CART Model
  • Greedy Algorithm
  • Parsimony
  • Model Performance Measures
  • Random Forest
  • Introduction to Neural Networks
  • Concepts in Neural Networks
  • Neural Networks in R
  • Scaling of Variables

Course Certificate

Get Data Mining course completion certificate from Great learning which you can share in the Certifications section of your LinkedIn profile, on printed resumes, CVs, or other documents.

GL Academy Sample Certificate

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