![]() ![]() The app comes with all the tools required for data classification, clustering, pre-processing, regression, visualisation, association rules, and more. Users can apply the algorithms directly to a data set or call them from custom Java code. Its primary objective is to solve real-world data mining problems. Weka is a comprehensive data mining tool with a huge collection of machine learning algorithms. 18 How To Use Top Regression Machine 18.1 Regression Algorithms Overview. ġ7 How To Use Top Classification Machine Learning Algorithms 17.1 Classification Algorithm Tour Overview. 16.3 Baseline Performance for Classification Problems. ġ6 How To Estimate A Baseline Performance For Your Models 16.1 Importance of Baseline Results. ġ5 How To Estimate The Performance of Machine Learning Algorithms 15.1 Model Evaluation Techniques. 14.6 Machine Learning Algorithm Configuration. 14.5 Ensemble Machine Learning Algorithms. 14.4 Nonlinear Machine Learning Algorithms. ![]() 14 How to Use Machine Learning Algorithms 14.1 Weka Machine Learning Algorithms. 13.6 What Feature Selection Techniques To Use. 13.3 Information Gain Based Feature Selection. 13.2 Correlation Based Feature Selection. 13 How to Perform Feature Selection With Machine Learning Data 13.1 Feature Selection in Weka. 77 12 How To Handle Missing Values 12.1 Mark Missing Values. 70 11.2 Convert Nominal Attributes to Dummy Variables. ġ1 How to Transform Your Machine Learning Data 70 11.1 Discretize Numerical Attributes. 10.3 Standardize Your Numeric Attributes. ġ0 How to Normalize and Standardize Your Machine 10.1 About Data Filters in Weka. ĩ How to Better Understand Your Machine Learning 9.1 Descriptive Statistics. ![]() Ĩ How to Load Standard Machine Learning Datasets 8.1 Standard Weka Datasets. 7.3 Load CSV Files in the ARFF-Viewer 7.4 Load CSV Files in the Weka Explorer 7.5 Use Excel for Other File Formats. ħ How To Load CSV Machine Learning 7.1 How to Talk About Data in Weka. ![]() Ħ A Tour of the Weka Machine Learning 6.1 Weka GUI Chooser. 5.4 Install Weka On Linux And Other Platforms. 5.2 Install The All-In-One Version of Weka. ĥ How to Download and Install the Weka Machine Learning Workbench 5.1 Download Weka. 4.3 Practice On Small In-Memory Datasets. Ĥ How to Make Best Use of Weka For Applied Machine Learning 4.1 Harness The Number One Benefit of Weka. 3.2 Introduction to the Weka Graphical Interface. ģ A Gentle Introduction to the Weka Machine Learning Workbench 3.1 What is Weka. 2.3 Learn the Process of Applied Machine Learning. Ģ Rapidly Accelerate Your Progress in Applied Machine Learning With Weka 2.1 Starting in Applied Machine Learning is Hard. Edition: v1.1ġ Welcome 1.1 Applied Machine Learning the Wrong Way 1.2 Applied Machine Learning with Weka. Machine Learning Mastery With Weka Analyze Data, Develop Models and Work Through Projects ![]()
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