This is a training on Machine Learning with R for the Big Data and Analytics course, the S P Jain School of Global Management, Mumbai, India, 30 May - 5 June 2016.
Contents of Training
Unsupervised Learning – I : Cluster Analysis1. Basic Concepts
2. Partitioning Methods
2.1. K-means
2.2. K-medoids
3. Hierarchical Methods
3.1. Diana
4. Density based Methods
4.1. DBSCAN
5. Evaluation of Clustering
6. Applications with real world problems
Unsupervised Learning- II : Associations & Correlations
1. Basic Concepts
2. Frequent Itemset Mining Methods
2.1. Apriori
2.2. Improving the Efficiency of Apriori
2.3. FPGrowth
2.4. ECLAT: Frequent Pattern Mining with Vertical Data Format
3. Pattern Evaluation Methods
4. Applications with real world problems