Installation of Python
Here’s how to download the Weka data mining workbench and install it on your own computer. For future convenience, create a shortcut to the program and put it somewhere handy – like the desktop. The Weka download comes with a folder containing sample data files that we’ll be using throughout the course; put this somewhere handy too.
- Installing and setting up WEKA. WEKA can be used in Linux, Windows or Mac operating systems and you can download this from the official website here. Select the operating system and click on download. The download will begin automatically. Once this is done, follow the steps to complete the installation and WEKA is ready to be used.
- Click here to download a disk image for Mac OS that contains a Mac application including Azul's 64-bit OpenJDK Java VM 11 JVM (weka-3-9-4-azul-zulu-osx.dmg; 143 MB) Linux. Click here to download a zip archive for Linux that includes Azul's 64-bit OpenJDK Java VM 11 (weka-3-9-4-azul-zulu-linux.zip; 128 MB) First unzip the the zip file.
Download Link Lecture: here
Download Link Lecture: here
Download Link Lecture: here
Installation of Anaconda and Jupyter Notebook
Lecture 01 - Installation of Anaconda and Jupyter Notebook on Windows
Lecture 02 - Installation of Anaconda and Jupyter Notebook on Linux
Lecture 03 - Installation of Anaconda and Jupyter Notebook on Mac
Installation of PyTorch
Lecture 01 - Installation and Basics of PyTorch on Windows
Lecture 02 - Installation and Basics of PyTorch on Mac
Setup Google Colab
Download Link Lecture Notes: here
Installation and Introduction to WEKA – A Single-label Machine Learning Toolkit
Lecture 01 - Installation of Java (JDK) on Windows
Download Link Lecture: here
Download Link Supporting Material: here
Download Link Lecture: here
Download Link Supporting Material: here
Weka Download For Mac
Installation and Introduction to MEKA – A Multi-label Machine Learning Toolkit
Lecture 01 - Installation of Java (JDK) on Windows
Download Link Lecture: here
Download Link Supporting Material: here
Download Link Lecture: here
Download Link Supporting Material: here
Part II – Supervised Machine Learning – Classification Problems
Weka 3.8 Download
Binary Classification Problems
Multi-class Classification Problems
Part III – Supervised Machine Learning – Regression Problems
About the App
- App name: Weka
- App description: weka (App: Not Available)
- App website: http://www.cs.waikato.ac.nz/ml/weka/
Install the App
- Press
Command+Space
and type Terminal and press enter/return key. - Run in Terminal app:
ruby -e '$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)' < /dev/null 2> /dev/null ; brew install caskroom/cask/brew-cask 2> /dev/null
and press enter/return key.
If the screen prompts you to enter a password, please enter your Mac's user password to continue. When you type the password, it won't be displayed on screen, but the system would accept it. So just type your password and press ENTER/RETURN key. Then wait for the command to finish. - Run:
brew cask install weka
Done! You can now use Weka.