Pinned Repositories
Big-Data-Technologies
Highlights: Implementation of R-tree and Data Analysis
Data-Mining
database
Highlights: Function, Trigger and procedures
datascience
Some of my works about the data science subject
Internship
My internship was at the NSW Department of Planning, Industry and Environment (DPIE), Water Group, and I used the Software: Python and R. The main project that I focused on during my internship was providing a report on: The Importance of Interpretability in Modelling Urban Water Systems.
Machine-Leaning
Create machine learning solutions to data science problems by identifying and applying appropriate algorithms and implementations.
Market-Research-and-forecasting
Modern-Computational-Statistical-Methods
This unit introduces methods such as maximum likelihood (ML) and Bayesian estimation methods and their associated computational procedures. Then it develops to the concept of missing data, a common problem in data analysis.The software platforms used are MATLAB and R with JAGS.
Unstructured-Data-Mining
Identify the appropriate data mining techniques and algorithms for real life unstructured data mining problems
fracomp's Repositories
fracomp/database
Highlights: Function, Trigger and procedures
fracomp/Big-Data-Technologies
Highlights: Implementation of R-tree and Data Analysis
fracomp/Data-Mining
fracomp/datascience
Some of my works about the data science subject
fracomp/Internship
My internship was at the NSW Department of Planning, Industry and Environment (DPIE), Water Group, and I used the Software: Python and R. The main project that I focused on during my internship was providing a report on: The Importance of Interpretability in Modelling Urban Water Systems.
fracomp/Machine-Leaning
Create machine learning solutions to data science problems by identifying and applying appropriate algorithms and implementations.
fracomp/Market-Research-and-forecasting
fracomp/Modern-Computational-Statistical-Methods
This unit introduces methods such as maximum likelihood (ML) and Bayesian estimation methods and their associated computational procedures. Then it develops to the concept of missing data, a common problem in data analysis.The software platforms used are MATLAB and R with JAGS.
fracomp/Unstructured-Data-Mining
Identify the appropriate data mining techniques and algorithms for real life unstructured data mining problems