Part-6: Data Mining and WareHouse
18. Datascience concepts in Warehouse and Mining
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Attributes
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Data cleaning process Steps
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Dealing/Filling with missing values
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How to deal with Noisy data using Binning technique
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Apriori Algorithm
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Confusion Matrix, Accuracy, Error rate, Precision,Recall
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Market Basket Analysis & Frequent Pattern
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K-Nearest Naighbour Classification
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ID-3 Algorithm
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Cross-Validation and K-fold Cross Validation
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Time series Analysis
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