WekaMOOC

0:10:38

Data Mining with Weka (1.3: Exploring datasets)

0:04:29

Advanced Data Mining with Weka: trailer

0:09:57

Advanced Data Mining with Weka (3.1: LibSVM and LibLINEAR)

0:10:25

Advanced Data Mining with Weka (1.1: Introduction)

0:03:39

More Data Mining with Weka: Trailer

0:09:54

More Data Mining with Weka (3.6: Evaluating clusters)

0:06:39

More Data Mining with Weka (1.1: Introduction)

0:09:00

Data Mining with Weka (1.1: Introduction)

0:04:29

Advanced Data Mining with Weka (2.2: Weka’s MOA package)

0:09:17

Advanced Data Mining with Weka (4.5: Miscellaneous capabilities)

0:06:19

Advanced Data Mining with Weka (2.3: The MOA interface)

0:12:51

Advanced Data Mining with Weka (5.3: Visualization)

0:05:48

Advanced Data Mining with Weka (2.1: Incremental classifiers in Weka)

0:10:19

Advanced Data Mining with Weka (5.4: Invoking Weka from Python)

0:10:30

Advanced Data Mining with Weka (1.5: Lag creation, and overlay data)

0:08:06

Advanced Data Mining with Weka (5.6: Course summary)

0:05:35

Data Mining with Weka: Trailer

0:11:03

Advanced Data Mining with Weka (3.5: Using R to preprocess data)

0:09:49

Advanced Data Mining with Weka (5.2: Building models)

0:12:49

Advanced Data Mining with Weka (1.6: Application: Infrared data from soil samples)

0:12:26

Advanced Data Mining with Weka (5.5: A challenge, and some Groovy)

0:12:01

Advanced Data Mining with Weka (1.2: Linear regression with lags)

0:11:21

Advanced Data Mining with Weka (1.3: timeseriesForecasting package)

0:06:31

Advanced Data Mining with Weka (2.5: Classifying tweets)