Tam Nguyen (tam-ng)

tam-ng

User data from Github https://github.com/tam-ng

Company:The University of Chicago

Home Page:https://tam-ng.github.io

GitHub:@tam-ng

Tam Nguyen's repositories

Human_Activity_Recognition

Performed various Deep Learning techniques to detect Human Activity using Sequential Data detect human activities generated by sensor-based wearable devices

Language:Jupyter NotebookStargazers:21Issues:1Issues:1

Drought_Forecasting_TimeSeries

Identified the most appropriate Time-Series method to forecast drought in African countries, acting as a critical early warning for drought managements

Language:RStargazers:4Issues:2Issues:0

BigData-Solution-Gaming-Platform

Big Data Solution for Gaming eCommerce Platform

Language:Jupyter NotebookStargazers:1Issues:1Issues:0

Survival_Analysis_ICU_24hrs

Using data within first 24 hours of intensive care to develop a machine learning model that could improve the current patient survival probability prediction system (apache_4a) and is more generalized to patients outside of the US

Language:Jupyter NotebookStargazers:1Issues:1Issues:0

awesome-public-datasets

A topic-centric list of HQ open datasets.

License:MITStargazers:0Issues:1Issues:0
Stargazers:0Issues:1Issues:0

Divvy_Chicago_BikeSharing

Developed a relational database that will enable quick response and analysis on the current state of Divvy’s operations in regard to ridership, station locations, other factors affecting them. Then built a scoring model to optimize the number of stations and bikes allocated by zip codes

Stargazers:0Issues:1Issues:0

FIFA19-Scouting-Analysis

For this project, we are positioning ourselves as a scouting agency that uses analytics to, among other things, enhance the discovery of talents and help soccer clubs better understand the dynamics (features) that come into play when determining the value, overall and future potential of a player. We will be utilizing the FIFA Player dataset available on Kaggle and apply various Data Mining techniques to achieve our objectives.

Language:Jupyter NotebookStargazers:0Issues:1Issues:0

Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:0Issues:1Issues:0
Language:Jupyter NotebookStargazers:0Issues:1Issues:0