Francesco Palermo's repositories
Big-Data-Technologies
Highlights: Implementation of R-tree and Data Analysis
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.
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