Introduction
R is a popular language of choice for Data Scientists around the world. R is often used with Rattle, an open source GUI for data mining and is used widely for Machine Learning and Data Mining.
Rattle provides an easy-to-use interface for building analytical models and drawing useful inferences. Students will learn basic concepts of data mining, machine learning and carry out predictive modelling with R Rattle.
Course Outline
- Introduction to Rattle
- Installing Rattl
- The Rattle GUI
- Pre-processing data in Rattle
- Partition and classify variables
- Transforming data
- Basic Statistics
- Descriptive statistics
- Graphs
- Hypothesis testing
- Ranking
- Data Mining
- Association rules
- K-means Clustering
- Hierarchical Clustering
- Classification
- Support Vector Machine
- Neural Network
- Decision Tree
- Random Forest
- Predictive Analytics
- Linear Regression
- Multiple Regression
- Logistic Regression
- Time Series Regression
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