Advanced Data Mining projects with R 2017

1. 1 Clustering with E-commerce Data/Clustering Methods – K means and Hierarchical.mp458.1MB
2. 1 Clustering with E-commerce Data/Clustering Methods – Model Based, Other and Comparison.mp420.31MB
3. 1 Clustering with E-commerce Data/The Course Overview.mp413.49MB
4. 1 Clustering with E-commerce Data/Understanding Customer Segmentation.mp46.6MB
5. 2 Building a Retail Recommendation Engine/Application of Methods and Limitations of Collaborative Filtering.mp44.65MB
6. 2 Building a Retail Recommendation Engine/Practical Project.mp417.4MB
7. 2 Building a Retail Recommendation Engine/What Is Recommendation-.mp412.89MB
8. 3 Dimensionality Reduction/Parametric Approach to Dimension Reduction.mp44.88MB
9. 3 Dimensionality Reduction/Practical Project around Dimensionality Reduction.mp447.39MB
10. 3 Dimensionality Reduction/Why Dimensionality Reduction-.mp415.02MB
11. 4 Applying Neural Network to Healthcare Data/Introduction to Neural Networks.mp47.27MB
12. 4 Applying Neural Network to Healthcare Data/Merits and Demerits of Neural Networks.mp43.8MB
13. 4 Applying Neural Network to Healthcare Data/Neural Network Implementation in R.mp45.29MB
14. 4 Applying Neural Network to Healthcare Data/Neural Networks for Classification.mp45.89MB
15. 4 Applying Neural Network to Healthcare Data/Neural Networks for Forecasting.mp44.72MB
16. 4 Applying Neural Network to Healthcare Data/Neural Networks for Prediction.mp412.81MB
17. 4 Applying Neural Network to Healthcare Data/Understanding the Math Behind the Neural Network.mp43.13MB