Principles of data mining and actual combat
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1th Week Data Analysis basics
Key points data analysis process, methodology (PEST, 5W2H, logical tree), basic data analysis method, data Analyst competency level, data measurement, exploration, sampling, original
and practical operation, combined with the use of SPSS tools
2nd Week Data Mining basics
Key points (data mining concepts, processes, important links, basic data processing methods (missing value, extremum), correlation analysis Method (analysis, variance analysis, chi-square analysis), principle and practical operation
The 3rd Week Data Mining tool introduction and Modeler software use
Important use of Modeler, actual data manipulation, preparation for subsequent courses)
4th Week Excavation-classification
Key points (decision Tree C5.0, logistic regression, two most commonly used algorithms, principles and actual modeling operations)
5th Week Excavation-Clustering
Key points (hierarchical clustering, Kmeans), mining-correlation (Apriori), Mining-prediction (linear regression, exponential smoothing, moving average), principle and actual modeling operations
The 6th Week Data Mining actual combat
Key points (take the target customer mining as an example, from the Business Analysis, plan development, data processing, data preparation, variable screening, modeling, evaluation, deployment of all aspects, using the Modeler tool, to tell the whole process of modeling)
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Data Mining Video Tutorial Download