In this course you will learn about #advanced #data #mining which will boost your data mining skill to the utmost level. ** Topics of this course ** Advanced Data Mining (1.1: Introduction) Advanced Data Mining (1.2: Linear regression with lags) Advanced Data Mining (1.3: timeseriesForecasting package) Advanced Data Mining (1.4: Looking at forecasts) Advanced Data Mining (1.5: Lag creation, and overlay data) Advanced Data Mining (1.6: Application: Infrared data from soil samples) Advanced Data Mining (2.1: Incremental classifiers in Weka) Advanced Data Mining (2.2: Weka’s MOA package) Advanced Data Mining (2.3: The MOA interface) Advanced Data Mining (2.4: MOA classifiers and streams) Advanced Data Mining (2.5: Classifying tweets) Advanced Data Mining (2.6: Application to Bioinformatics – Signal peptide prediction) Advanced Data Mining (3.1: LibSVM and LibLINEAR) Advanced Data Mining (3.2: Setting up R with Weka) Advanced Data Mining (3.3: Using R to plot data) Advanced Data Mining (3.4: Using R to run a classifier) Advanced Data Mining (3.5: Using R to preprocess data) Advanced Data Mining (3.6: Application: Functional MRI Neuroimaging data) Advanced Data Mining (4.1: What is distributed Weka?) Advanced Data Mining (4.2: Installing with Apache Spark) Advanced Data Mining (4.3: Using Naive Bayes and JRip) Advanced Data Mining (4.4: Map tasks and Reduce tasks) Advanced Data Mining (4.5: Miscellaneous capabilities) Advanced Data Mining (4.6: Application: Image classification) Advanced Data Mining (5.1: Invoking Python from Weka) Advanced Data Mining (5.2: Building models) Advanced Data Mining (5.3: Visualization) Advanced Data Mining (5.4: Invoking Weka from Python) Advanced Data Mining (5.5: A challenge, and some Groovy) Advanced Data Mining (5.6: Course summary) ** Course: http://weka.waikato.ac.nz/ YouTube: https://www.youtube.com/channel/UCXYXSGq6Oz21b43hpW2DCvw ** ** Join our community ** Join our FB Group: https://www.facebook.com/groups/cslesson Like our FB Page: https://www.facebook.com/cslesson/ Visit Website : https://cslesson.org/