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Built LDA and QDA models on variables obtained from Principal Component Analysis (PCA) and Kolmogorov-Smirnov (KS) and tuned by leave-one-out cross-validation (LOOCV) to predict fraudulent online advertising click traffic
Using Linear and Quadratic discriminant analysis, KNN and Naive Bayes to develop a tool that can classify wines into one of the three types based on the other variables provided.
What if we could leverage the many Disney intellectual properties and continue to earn revenue for an extended amount of time after the initial movie release?