Advanced Data Mining projects with 2017 | 50A50DEACA61DD47E177201C64356DB1ABA4A02D

Advanced Data Mining projects with 2017

Name	Advanced Data Mining projects with R (2017)	DOWNLOAD Copy Link
Total Size	255.5 MB
Total Files	17
Hash	50A50DEACA61DD47E177201C64356DB1ABA4A02D

/1 Clustering with E-commerce Data/
Clustering Methods – K means and Hierarchical.mp4	60.9 MB
Clustering Methods – Model Based, Other and Comparison.mp4	21.3 MB
The Course Overview.mp4	14.1 MB
Understanding Customer Segmentation.mp4	6.9 MB
/2 Building a Retail Recommendation Engine/
Application of Methods and Limitations of Collaborative Filtering.mp4	4.9 MB
Practical Project.mp4	18.2 MB
What Is Recommendation-.mp4	13.5 MB
/3 Dimensionality Reduction/
Parametric Approach to Dimension Reduction.mp4	5.1 MB
Practical Project around Dimensionality Reduction.mp4	49.7 MB
Why Dimensionality Reduction-.mp4	15.8 MB
/4 Applying Neural Network to Healthcare Data/
Introduction to Neural Networks.mp4	7.6 MB
Merits and Demerits of Neural Networks.mp4	4.0 MB
Neural Network Implementation in R.mp4	5.5 MB
Neural Networks for Classification.mp4	6.2 MB
Neural Networks for Forecasting.mp4	4.9 MB
Neural Networks for Prediction.mp4	13.4 MB
Understanding the Math Behind the Neural Network.mp4	3.3 MB
Total files 17