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  • Minneapolis, MN

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  1. Travelers-Modeling-Competition Travelers-Modeling-Competition Public

    Performed classification algorithm on insurance dataset to predict the occurrence of fraudulent claims given a training set and testing set. *The train and test dataset are not provided in the publ…

    Jupyter Notebook

  2. Heart-Disease-Study Heart-Disease-Study Public

    Classification modeling on predicting the presence of heart disease. *Data obtained from Kaggle. Team members: Kah Meng, Eric Thomas, Andrew Jee, Adam Meziou

    Jupyter Notebook

  3. Experimental-Design-Analysis-with-R Experimental-Design-Analysis-with-R Public

    For Course 8052 Applied Statistical Methods 2: Design of Experiments and Mixed -Effects Modeling. Some cooperation with Vishal Subedi

  4. Python-for-Machine-Learning-Fundamentals-at-UMN Python-for-Machine-Learning-Fundamentals-at-UMN Public

    Coding Assignment for Introduction to Machine Learning course at UMN, building machine learning algorithm from scratch and skeleton without Python libraries.

    Jupyter Notebook

  5. Boston-Housing-Data-with-Regression Boston-Housing-Data-with-Regression Public

    Regression with OLS, Ridge, Lasso, and Elastic-Net. *Data obtained from Sklearn library.

    Jupyter Notebook

  6. Python-for-Introduction-to-Data-Mining-at-UMN Python-for-Introduction-to-Data-Mining-at-UMN Public

    Coding assignment involves basic machine learning algorithm in Classification, Text Mining, and Clustering

    Jupyter Notebook