Projects | Yiran Li

Operationalize Metric Calculation and Real-time Insights

Thu, 14 Sep 2023 00:00:00 +0000

Predicting 2021 NFL Game Spread, Total and Result

Wed, 27 Apr 2016 00:00:00 +0000

Predicting Mauna Loa's Monthly Average CO2 Level by Using Time Series Models

Wed, 27 Apr 2016 00:00:00 +0000

Predicting the Lifetime of the Amazon Robot System

Wed, 27 Apr 2016 00:00:00 +0000

Using Machine Learning Methods to Predict Patients' Survival

Wed, 27 Apr 2016 00:00:00 +0000

This project was a group project that required our team to use a variety of machine learning methods to predict the survival of patients with heart failure based on their clinical, body, and lifestyle information. Specifically, we used both unsupervised learaning (i.e., PCA and clustering) and supervised learning methods (i.e., kNN, logistic regressions, LASSO, and decision trees) on our data set. Based on the results, we also explored the best statistical models for our data set and identify the most important predictors in these models.

Using Natural Language Processing (NLP) to Analyse Customers Reviews

Wed, 27 Apr 2016 00:00:00 +0000