- Published on August 29, 2021
- In Deep Tech
Beginner’s Guide to WEKA – A Tool for ML and Analytics
In the era of Data Science where knowledge of programming languages like Python and R is essential to implement the fundamental algorithms and techniques related to Machine learning and Data analytics.
- By Vijaysinh Lendave
In the era of Data Science where knowledge of programming languages like Python and R is essential to implement the fundamental algorithms and techniques related to Machine learning and Data analytics. Every beginner in this field, especially those from Non-Technical background first tend to learn about the basics of these programming languages then try to implement algorithms related to ML.
Well to make a smooth transition into Data Science, WEKA is such a user-friendly tool where you can start experimenting with a variety of ML algorithms and analytical techniques without having any prior knowledge of programming language.
Waikato Environment for Knowledge Analysis (WEKA) developed at the University of Waikato, New Zealand is free Open source software that provides tools for
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Vijaysinh Lendave
Vijaysinh is an enthusiast in machine learning and deep learning. He is skilled in ML algorithms, data manipulation, handling and visualization, model building.
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