Thank you for sending your enquiry! One of our team member will contact you shortly.
Thank you for sending your booking! One of our team member will contact you shortly.
Course Outline
Sources of methods
- Artificial intelligence
- Machine learning
- Statistics
- Sources of data
Pre processing of data
- Data Import/Export
- Data Exploration and Visualization
- Dimensionality Reduction
- Dealing with missing values
- R Packages
Data mining main tasks
- Automatic or semi-automatic analysis of large quantities of data
- Extracting previously unknown interesting patterns
- groups of data records (cluster analysis)
- unusual records (anomaly detection)
- dependencies (association rule mining)
Data mining
- Anomaly detection (Outlier/change/deviation detection)
- Association rule learning (Dependency modeling)
- Clustering
- Classification
- Regression
- Summarization
- Frequent Pattern Mining
- Text Mining
- Decision Trees
- Regression
- Neural Networks
- Sequence Mining
- Frequent Pattern Mining
Data dredging, data fishing, data snooping
Requirements
Good R knowledge.
Testimonials
very tailored to needs
Yashan Wang
Data Mining with R Course
Related Courses
Data Mining
21 hours
Data Mining and Analysis
28 hours
Data Visualization
28 hours
Data Science for Big Data Analytics
35 hours
Process Mining
21 hours
MonetDB
28 hours
Foundation R
7 hours
KNIME Analytics Platform for BI
21 hours