Data Science Concepts
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Overview of a few data science concepts useful for analytics.

Active Learning, Agent-based modeling, ANOVA, Market Basket Analysis, Collaborative Filtering, Bayesian Network,  Coordinate Transformation, Expert Systems,  Factor Analysis, Fuzzy Logic, Hierarchical Clustering, Hidden Markov Model, K-means & X-means Clustering, Exponential Smoothing, Ensemble Learning, Design of Experiments, Neural Networks, etc.