Dive deep into advanced data mining techniques using Weka in this comprehensive 5-hour course from the University of Waikato. Explore linear regression with lags, time series forecasting, and incremental classifiers. Learn to use Weka's MOA package for classifying tweets and applying bioinformatics to signal peptide prediction. Integrate LibSVM, LibLINEAR, and R with Weka for enhanced data visualization, preprocessing, and classification. Discover distributed Weka using Apache Spark for large-scale data processing and image classification. Master the integration of Python and Weka for building models and creating visualizations. Apply these advanced techniques to real-world scenarios, including soil sample analysis, functional MRI neuroimaging, and more.
Overview
Syllabus
Advanced Data Mining with Weka: trailer.
Advanced Data Mining with Weka (1.1: Introduction).
Advanced Data Mining with Weka (1.2: Linear regression with lags).
Advanced Data Mining with Weka (1.3: timeseriesForecasting package).
Advanced Data Mining with Weka (1.4: Looking at forecasts).
Advanced Data Mining with Weka (1.5: Lag creation, and overlay data).
Advanced Data Mining with Weka (1.6: Application: Infrared data from soil samples).
Advanced Data Mining with Weka (2.1: Incremental classifiers in Weka).
Advanced Data Mining with Weka (2.2: Weka’s MOA package).
Advanced Data Mining with Weka (2.3: The MOA interface).
Advanced Data Mining with Weka (2.4: MOA classifiers and streams).
Advanced Data Mining with Weka (2.5: Classifying tweets).
Advanced Data Mining with Weka (2.6: Application to Bioinformatics – Signal peptide prediction).
Advanced Data Mining with Weka (3.1: LibSVM and LibLINEAR).
Advanced Data Mining with Weka (3.2: Setting up R with Weka).
Advanced Data Mining with Weka (3.3: Using R to plot data).
Advanced Data Mining with Weka (3.4: Using R to run a classifier).
Advanced Data Mining with Weka (3.5: Using R to preprocess data).
Advanced Data Mining with Weka (3.6: Application: Functional MRI Neuroimaging data).
Advanced Data Mining with Weka (4.1: What is distributed Weka?).
Advanced Data Mining with Weka (4.2: Installing with Apache Spark).
Advanced Data Mining with Weka (4.3: Using Naive Bayes and JRip).
Advanced Data Mining with Weka (4.4: Map tasks and Reduce tasks).
Advanced Data Mining with Weka (4.5: Miscellaneous capabilities).
Advanced Data Mining with Weka (4.6: Application: Image classification).
Advanced Data Mining with Weka (5.1: Invoking Python from Weka).
Advanced Data Mining with Weka (5.2: Building models).
Advanced Data Mining with Weka (5.3: Visualization).
Advanced Data Mining with Weka (5.4: Invoking Weka from Python).
Advanced Data Mining with Weka (5.5: A challenge, and some Groovy).
Advanced Data Mining with Weka (5.6: Course summary).
Taught by
WEKA MOOC
