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Advanced Data Mining projects with R
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1.5 Hours | 243 MB
Genre: eLearning | Language: English
Advanced Data Mining Projects with R takes you one step ahead in understanding the most complex data mining algorithms and implementing them in the popular R language. Follow up to our course Data Mining Projects in R, this course will teach you how to build your own recommendation engine. You will also implement dimensionality reduction and use it to build a real-world project. Going ahead, you will be introduced to the concept of neural networks and learn how to apply them for predictions, classifications, and forecasting. Finally, you will implement ggplot2, plotly and aspects of geomapping to create your own data visualization projects.By the end of this course, you will be well-versed with all the advanced data mining techniques and how to implement them using R, in any real-world scenario.
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FILE LIST
Filename
Size
1 Clustering with E-commerce Data/Clustering Methods – K means and Hierarchical.mp4
58.1 MB
1 Clustering with E-commerce Data/Clustering Methods – Model Based, Other and Comparison.mp4
20.3 MB
1 Clustering with E-commerce Data/The Course Overview.mp4
13.5 MB
1 Clustering with E-commerce Data/Understanding Customer Segmentation.mp4
6.6 MB
2 Building a Retail Recommendation Engine/Application of Methods and Limitations of Collaborative Filtering.mp4
4.6 MB
2 Building a Retail Recommendation Engine/Practical Project.mp4
17.4 MB
2 Building a Retail Recommendation Engine/What Is Recommendation-.mp4
12.9 MB
3 Dimensionality Reduction/Parametric Approach to Dimension Reduction.mp4
4.9 MB
3 Dimensionality Reduction/Practical Project around Dimensionality Reduction.mp4
