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1. Tuning-ML-Classifiers Tuning-ML-Classifiers Public

   The project includes building seven different machine learning classifiers (including Linear Regression, Decision Tree, Bagging, Random Forest, Gradient Boost, AdaBoost, and XGBoost) using Original…

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2. ML-Regression-Model--AWS ML-Regression-Model--AWS Public

   We analyze the data of ReCell case study, build a linear regression model to predict the price of a used phone, measure the performance of the model, check linear regression assumptions, and identi…

   Jupyter Notebook 2

3. Network-Distances--GMAP-API Network-Distances--GMAP-API Public

   Using GMAP API to calculate supply-demand distances and durations for a real-world facility location problem.

   Jupyter Notebook 2

4. Unsupervised-Learning--Data-Clustering Unsupervised-Learning--Data-Clustering Public

   We apply and compare K-means and Hierarchical Clustering methods on the data set of the Trade & Ahead case study.

   Jupyter Notebook 2 1

5. Ensemble-Learning Ensemble-Learning Public

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6. flow-trace-back-algorithm flow-trace-back-algorithm Public

   This algorithm is designed to sort out orders from network flow results.

   Python