Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on. Kick-start your project with my new book Machine Learning Mastery With Weka, including step-by-step tutorials and clear screenshots for all examples. Download Weka and Install. Visit the Weka Download page and locate a version of Weka suitable for your computer (Windows, Mac or Linux). Weka requires Java. It runs on any computer, under Windows, Linux, or Mac. It has been downloaded millions of times and is being used all around the world. ( Note: Depending on your computer and system version, you may need admin access to install Weka.
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Alternatives to WEKA for Windows, Linux, Mac, Web, Self-Hosted and more. Filter by license to discover only free or Open Source alternatives. This list contains a total of 11 apps similar to WEKA. List updated: 5/23/2019 5:12:00 PM.
Installation of Python
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Installation of Anaconda and Jupyter Notebook
Installation of PyTorch
Setup Google Colab
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Installation and Introduction to WEKA – A Single-label Machine Learning Toolkit
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Download Link Supporting Material: here
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Installation and Introduction to MEKA – A Multi-label Machine Learning Toolkit
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Part II – Supervised Machine Learning – Classification Problems
Binary Classification Problems
Multi-class Classification Problems
Part III – Supervised Machine Learning – Regression Problems
Installation of Python
Download Link Lecture: here
Download Link Lecture: here
Download Link Lecture: here
Installation of Anaconda and Jupyter Notebook
Installation of PyTorch
Setup Google Colab
Download Link Lecture Notes: here
Installation and Introduction to WEKA – A Single-label Machine Learning Toolkit
Download Link Lecture: here
Weka Download Mac
Download Link Supporting Material: here
Weka Download Mac Os X
Download Link Lecture: here
Download Link Supporting Material: here
Installation and Introduction to MEKA – A Multi-label Machine Learning Toolkit
Download Link Lecture: here
Download Link Supporting Material: here
Download Link Lecture: here
Weka Download For Mac
Download Link Supporting Material: here