{"id":23200502,"url":"https://github.com/bayunova28/sas_visual_data_mining_machine_learning","last_synced_at":"2026-03-20T01:00:08.697Z","repository":{"id":157263978,"uuid":"494715009","full_name":"Bayunova28/SAS_Visual_Data_Mining_Machine_Learning","owner":"Bayunova28","description":"This repository contains about my weekly projects from Big Data Analytics II course at my 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\u003cb\u003eMultimedia Nusantara University\u003c/b\u003e\n* Course : \u003cb\u003eBig Data Analytics II\u003c/b\u003e\n  \n## SAS® VDMML Exploratory Data Analysis (EDA) and Neural Network Models\n### Objective\n\u003cp align=\"justify\"\u003eStudents well understand the benefits and functionality of SAS Visual Data Mining and Machine Learning in the SAS Visual Analytics environment, \nto describe and explore data analysis using neural Network algorithm to provides procedures for sampling, data exploration, dimension reduction, and model assessment\u003cp\u003e\n\n### Data Exploration\n\u003cimg align=\"center\" src=\"https://github.com/Bayunova28/SAS_Visual_Data_Mining_Machine_Learning/blob/master/images/data-exploration2.png\" height=\"500\" width=\"1000\"\u003e\n  \n### Impute Missing Observations\n\u003cimg align=\"center\" src=\"https://github.com/Bayunova28/SAS_Visual_Data_Mining_Machine_Learning/blob/master/images/impute-missing-observations.png\" height=\"500\" width=\"1000\"\u003e\n\n### Partitioning Data\n\u003cimg align=\"center\" src=\"https://github.com/Bayunova28/SAS_Visual_Data_Mining_Machine_Learning/blob/master/images/partioning-data.png\" height=\"500\" width=\"1000\"\u003e\n\n### Neural Network Model\n\u003cimg align=\"center\" src=\"https://github.com/Bayunova28/SAS_Visual_Data_Mining_Machine_Learning/blob/master/images/neural-network-model.png\" height=\"500\" width=\"1000\"\u003e\n\n## SAS® VDMML: Build \u0026 Compare Several Types of Models\n### Objective\n\u003cp align=\"justify\"\u003eStudents understand and are able to implement the data science project using the SAS Visual Data Mining and Machine Learning to provides procedures for data exploration, model building, model comparison and selection.\u003c/p\u003e\n\n### Data Preparation\n\u003cimg align=\"center\" src=\"https://github.com/Bayunova28/SAS_Visual_Data_Mining_Machine_Learning/blob/master/images/data-exploration.png\" height=\"600\" width=\"1000\"\u003e\n\n### C45 (Decision Tree)\n\u003cimg align=\"center\" src=\"https://github.com/Bayunova28/SAS_Visual_Data_Mining_Machine_Learning/blob/master/images/decision-tree.png\" height=\"500\" width=\"1000\"\u003e\n\n### Logistic Regression\n\u003cimg align=\"center\" src=\"https://github.com/Bayunova28/SAS_Visual_Data_Mining_Machine_Learning/blob/master/images/logistic-regression.png\" height=\"500\" width=\"1000\"\u003e\n\n### Gradient Boosting\n\u003cimg align=\"center\" src=\"https://github.com/Bayunova28/SAS_Visual_Data_Mining_Machine_Learning/blob/master/images/gradient-boosting.png\" height=\"500\" width=\"1000\"\u003e\n\n### Neural Network\n\u003cimg align=\"center\" src=\"https://github.com/Bayunova28/SAS_Visual_Data_Mining_Machine_Learning/blob/master/images/neural-network.png\" height=\"500\" width=\"1000\"\u003e\n\n### Model Selection \u0026 Scoring\n\u003cimg align=\"center\" src=\"https://github.com/Bayunova28/SAS_Visual_Data_Mining_Machine_Learning/blob/master/images/model-selection.png\" height=\"500\" width=\"1000\"\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbayunova28%2Fsas_visual_data_mining_machine_learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbayunova28%2Fsas_visual_data_mining_machine_learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbayunova28%2Fsas_visual_data_mining_machine_learning/lists"}