# Data warehouse and Data mining

* [Understanding Data through Statistical and visualization techniques](https://github.com/sthsuyash/CSIT_Labs/blob/main/7th_Semester/Data%20Warehousing%20and%20Data%20Mining/Lab1-Understanding_Data_through_statistical_and_visualization_techniques.ipynb)
* [Identify data quality and handle missing value](https://github.com/sthsuyash/CSIT_Labs/blob/main/7th_Semester/Data%20Warehousing%20and%20Data%20Mining/Lab2-Data_quality-Identify_and_handle_missing_value.ipynb)
* [Data Preprocessing by Data Discretization Binning and Feature Subset Selection](https://github.com/sthsuyash/CSIT_Labs/blob/main/7th_Semester/Data%20Warehousing%20and%20Data%20Mining/Lab3-Data_Preprocessing-Data_Discretization_Binning_and_Feature_Subset_Selection.ipynb)
* [Attribute Transformation and Dimensionality Reduction](https://github.com/sthsuyash/CSIT_Labs/blob/main/7th_Semester/Data%20Warehousing%20and%20Data%20Mining/Lab4-Attribute_Transformation_and_Dimensionality_Reduction.ipynb)
* [Decision tree and its performance metrics](https://github.com/sthsuyash/CSIT_Labs/blob/main/7th_Semester/Data%20Warehousing%20and%20Data%20Mining/Lab5-Supervised_Learning_Algorithm_Decision_tree_and_its_Performance_Metrics.ipynb)
* [Naive Bayes Classifier](https://github.com/sthsuyash/CSIT_Labs/blob/main/7th_Semester/Data%20Warehousing%20and%20Data%20Mining/Lab6-Naive_Bayes_Classifier_for_email_spam_filter.ipynb)
* [SVM](https://github.com/sthsuyash/CSIT_Labs/blob/main/7th_Semester/Data%20Warehousing%20and%20Data%20Mining/Lab7-Supervised_learning-Support_Vector_Machine.ipynb)
* [K-means Clustering](https://github.com/sthsuyash/CSIT_Labs/blob/main/7th_Semester/Data%20Warehousing%20and%20Data%20Mining/Lab8-K-means_Clustering_for_iris_flower_dataset.ipynb)
* [Association analysis using Apriori algorithm](https://github.com/sthsuyash/CSIT_Labs/blob/main/7th_Semester/Data%20Warehousing%20and%20Data%20Mining/Lab9-Association_analysis_using_APRIORI_algorithm.ipynb)
