Modelling and Visualisation of data in R

Service description

1. Visualization of univariate data (density plots, histograms, q-q plots, empirical CDF, box and whisker plots, barplots)

2. Visualization of bivariate data (scatter plots and simple regression)

3. Visualization of multi-dimensional data, heatmaps, contourplots, PCA, LDA.

4. Visualization of time series data, interpolation, smoothing, periodograms, spectrograms, autocorrelation.

5. Linear regression.

6. Modelling of time-series data (ARMA and ARIMA)

7. Generalized linear models.

8. Support vector machines.

9. Convolutional neural networks.

10. Unsupervised models - K-means.

11. Unsupervised models - GMM

Type of methodology: Combination of lecture and hands-on

Participants receive the certificate of attendance: Yes

Paid training activity for participants: Yes, for all

Participants prerequisite knowledge: Numerical methods (linear algebra, statistics) Domain-specific background knowledge

Level
Potential users
Scientific Domain
Mathematics
Category
Training events
Service valid until
Audience
Research and Academia
Location category
Language
English
Technical Domain
Artificial intelligence, machine and deep learning
Visualisation
Format
In person
Initiative
Castiel and EuroCC
Country