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Advanced Data Mining projects with R

Discover the versatility of R for data mining

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Created by Pradeepta Mishra

Take your data mining skills further by mastering advanced techniques with R. Explore how to build recommendation engines, apply dimensionality reduction, and use neural networks for real-world prediction tasks. Learn to create engaging data visualizations using popular R libraries.

Packt | Feb 2017 | 84 min

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LevelExpert
CategoriesData Science, Data Mining, Extraction and Transformation, R

What You Will Learn

You will work through practical projects that guide you step by step in applying advanced data mining algorithms. Each project focuses on solving real predictive modeling challenges, helping you gain hands-on experience with R's powerful tools and libraries.

Key Features

  • Build a recommendation engine using advanced data mining algorithms in R
  • Apply dimensionality reduction and neural networks to real-world datasets
  • Create compelling data visualizations with ggplot2, plotly, and geomapping

Target Audience

This course is perfect for data analysts or data scientists who already know the basics of R and data mining. If you want to tackle more complex projects, deepen your understanding of advanced algorithms, and build practical solutions for real data problems, you'll find this course a great fit.

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