In this video, I will be showing you how to build regression models in Weka using linear regression and various machine learning algorithms (random forest, support vector machine and neural network). Weka is a GUI-based machine learning that provides access to a complete collection of functionalities to perform data science tasks (no coding) in a point-and-click fashion. This tutorial is suitable for beginners and those wanting to break into data science.

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✅ Data Science Virtual Internship: [ Ссылка ]
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✅ Streamlit (Web App in Python): [ Ссылка ]
✅ Shiny (Web App in R): [ Ссылка ]
✅ Google Colab Tips and Tricks: [ Ссылка ]
✅ Pandas Tips and Tricks: [ Ссылка ]
✅ Python Data Science Project: [ Ссылка ]
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✅ Hands-On Machine Learning with Scikit-Learn : [ Ссылка ]
✅ Data Science from Scratch : [ Ссылка ]
✅ Python Data Science Handbook : [ Ссылка ]
✅ R for Data Science : [ Ссылка ]
✅ Artificial Intelligence: The Insights You Need from Harvard Business Review: [ Ссылка ]
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