Eralda Gjika Dhamo (Department of Applied Mathematics, Faculty of Natural Science, University of Tirana)
Tuesday – June 21, 10h00-13h00
Introduction to Data Science with R
• Defining Data Science and its importance
• Introduction to R, environment and basic commands
• Data visualization. R package “ggplot”
Tuesday – June 21, 14h30-17h30
Machine Learning Models in R
• Statistics for Data Science. Data manipulation “dplyr” package
• Regression Modeling, tree Based Methods in R
• Supervised Learning-Classification methods (SVM) in R
Wednesday – June 22, 14h30-16h30
Time Series Analysis and Prediction with R
Time Series Analysis – the “forecast” package in R
Introduction to Data Science with R
• Defining Data Science and its importance
• Introduction to R, environment and basic commands
• Data visualization. R package “ggplot”
Tuesday – June 21, 14h30-17h30
Machine Learning Models in R
• Statistics for Data Science. Data manipulation “dplyr” package
• Regression Modeling, tree Based Methods in R
• Supervised Learning-Classification methods (SVM) in R
Wednesday – June 22, 14h30-16h30
Time Series Analysis and Prediction with R
Time Series Analysis – the “forecast” package in R
Location: Seminar room, building VII
Eralda Gjika (Dhamo) is a researcher and lecturer of Probability and Statistics at the Department of Applied Mathematics, Faculty of Natural Science, University of Tirana.
She has finished her university studies in Mathematics (2001-2006) and a Master in Applied Mathematics (2009). She also holds a doctorate in Time Series Analysis (2014).
Her teaching and research interests are in Data Science (time series, supervised and unsupervised learning techniques, text mining). She takes part in international projects such as COST Action aiming using ML models for Big Data applied to extreme weather prediction (DAMOCLES) and vascular age (VASCAGENET). She is a proficient user of R programming language. For more information you may refer to:
https://sites.google.com/fshn.edu.al/eraldagjikadhamo/home
Her teaching and research interests are in Data Science (time series, supervised and unsupervised learning techniques, text mining). She takes part in international projects such as COST Action aiming using ML models for Big Data applied to extreme weather prediction (DAMOCLES) and vascular age (VASCAGENET). She is a proficient user of R programming language. For more information you may refer to:
https://sites.google.com/fshn.edu.al/eraldagjikadhamo/home