Akademik Dersler - İçerik

Weeks	Topics
Week - 1	Overview of data mining
Week - 2	Data mining process
Week - 3	Data cleaning techniques
Week - 4	Handling missing values, outlier detection and treatment
Week - 5	Data transformation methods
Week - 6	Data visualization techniques
Week - 7	Correlation analysis, data distribution analysis
Week - 8	Introduction to classification
Week - 9	Decision trees, logistic regression, Naive Bayes classifier
Week - 10	Model evaluation techniques
Week - 11	Introduction to clustering, K-means clustering, hierarchical clustering, evaluation of clustering results
Week - 12	Market basket analysis, frequent itemsets, association rule generation, rule evaluation and pruning
Week - 13	Feature selection techniques
Week - 14	Principal Component Analysis (PCA)