Más contenido relacionado Más de Skillogic Solutions (20) Business Analytics Data Mining Syllabus2. 1. Basic matrix a
2. Introduction to data mining algebra
3. Dimension reduction techniques: Principal component Analysis(PCA)
4. Singular Value Decomposition (SVD)
5. Association rules
6. Sequential pattern mining
7. Recommender Systems (collaborative Filtering)
8. Network Analytics: Degree centrality, Closeness Centrality etc.
9. Cluster Analysis- Application on segmentation, anomaly detection
10. Hierarchical clustering and K-means clustering with various distance
measures and for continuous/ categorical variables
3. 11. Overview of machine learning/supervised learning
12. Data exploration methods: Understanding data(distributions,
visualizations), Data nuances, data transformations
13. Basic classification algorithms
13.1. Version spaces and decision trees classifier
13.2. K-Nearest Neighbours and parzwen window
13.3. Bayesian classifiers: naïve Bayes and other discriminant
classifiers
13.4. Perceptron and Logistic regression
4. 13.5. Neur
14. Advanced classification algorithms al networks
14.1. Bayesian Networks
14.2. Support Vector machines
14.2. Support Vector machines
16. Multi class classification problem
17. Bagging(random forest) and Boosting( Gradient Boosted
Decision Trees)
5. 18. Regression Analysis
19. Recommendation engines
20. Information retrieval
21. Practical tips in modelling: Bias Vs trade off,
Feature engineering and incorporating domain
knowledge.
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