{"repo":"jphall663/GWU_data_mining","free":true,"listed":false,"github":"https://github.com/jphall663/GWU_data_mining","clone":"git clone https://github.com/jphall663/GWU_data_mining.git","description":"Materials for GWU DNSC 6279 and DNSC 6290.","language":"Jupyter Notebook","stars":240,"topics":["data-science","data-mining","data-visualization","machine-learning","python","r","sas","text-mining","image-processing","image-recognition"],"license":null,"category":"machine-learning","readme_excerpt":"Materials for GWU DNSC 6279 and 6290 DNSC 6279 (\"Data Mining\") provides exposure to various data preprocessing, statistics, and machine learning techniques that can be used both to discover relationships in large data sets and to build predictive models. Techniques covered will include basic and analytical data preprocessing, regression models, decision trees, neural networks, clustering, association analysis, and basic text mining. Techniques will be presented in the context of data driven organizational decision making using statistical and machine learning approaches. DNSC 6290 (\"Machine Learning\") provides a follow up course to DNSC 6279 that will expand on both the theoretical and practical aspects of subjects covered in the pre-requisite course while optionally introducing new materials. Techniques covered may include feature engineering, penalized regression, neural networks and deep learning, ensemble models including stacked generalization and super learner approaches, matrix factorization, model validation, and model interpretation. Classes will be taught as workshops where groups of students will apply lecture materials to the ongoing Kaggle Advanced Regression and Digit Recognizer contests. Course Topics Topics --- Section 00: Intro and History Section 01: Basic Data Prep Section 02: Analytical Data Prep Section 03: Regression Section 04: Decision Trees and Ensembles Section 05: Neural Networks Section 06: Clustering Section 07: Association Rules Section 08: Text ","default_branch":null,"files":null,"tree":[],"storefront":"/r/jphall663","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/jphall663/GWU_data_mining/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}