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23AD55- DATA MINING LAB INTERNAL EXAMINATION

 23AD55- DATA MINING LAB INTERNAL EXAMINATION(30-10-2026) ***Use the Python library scikit-learn wherever necessary Question Q is Common to All Q. Implement the following data preprocessing tasks using Python libraries. a) Loading the dataset b) Identifying the dependent and independent variables. c) Dealing with missing data d) Dealing with categorical data. e) Scaling the features. f) Splitting the dataset into Training and Testing Sets 1. a) Implement  Pearson’s Correlation  Similarity and Dissimilarity Measures using Python    b)  Build a model using the linear regression algorithm on any dataset. 2. a) Implement  Cosine Similarity  and Dissimilarity Measures using Python    b) Implement  a classification model using the Decision Tree algorithm on the Iris dataset 3. a) Implement  Jaccard Similarity  and Dissimilarity Measures using Python    b) Implement the   K-Means clustering algorithm on any dataset...

Clustering

Sample K - Mean Clustering Python Code Sample Hierarchical Clustering Python Code Sample DBSCAN Clustering Python Code

Association Rule Mining

 Sample Association Rule Mining Using Apriori Algorithm Python Code Sample Association Rule Mining Using Apriori Algorithm Python Code

Bayes Classification Examples

 Sample Bayes Classification Python Code

Decision Tree Examples

 Sample Decision Tree Python Code

Data Wearhouse and Data Mining UNIT-II

 Data Wearhouse and Data Mining UNIT-II

Student_Placement_Dataset(CSV)

 Student_Placement_Dataset(CSV) - I Download Excel File  Student_Placement_Dataset(CSV) - II Download Excel File