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Machine Learning in RapidMiner

Introduce basic machine learning models in RapidMiner.

Basic Usage

  1. Load and Collect Data in RapidMiner
  2. Exploring Data in RapidMiner
  3. Simple Linear Regression
  4. Generalized Linear Regression
  5. Logistic Regression and Support Vector Machine
  6. K-Nearest Neighbors
  7. Naive Bayes
  8. Decision Trees, Random Forest, and Gradient Boosting Trees
  9. Neural Networks
  10. K-Means Clustering

Simple Application

  1. Use Naive Bayes to Classify Tweets

  2. Use K-Means Clustering to Classify Tweets

  3. Use Deep Learning to Classify LiDAR Points

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Demo of using RapidMiner in machine learning

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Readme

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MIT license
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