a multinomial logistic model will be the most natural choice. If the dependent variable is ordinal, we can choose ordinal logistic regression if the proportional odds assumption gives a good ...

The aim of the course is to make the participants familiar with advanced statistical regression methods applied to clinical research and epidemiology. This will give the participants a better basis ...

The results show that our data-driven methodology clearly outperforms standard industry local control and successfully imitates an optimal-power-flow-based control.

1 Day SONY 4.03% DJIA 1.78% S&P 500 2.05% Technology 0.00% ...

After that, hybrid forecasting phase which combines moving average model and Bayesian Network machine learning algorithm is applied. Our experimental results on real data set show that this approach ...

Python implementations of some of the fundamental Machine Learning models and algorithms from scratch. The purpose of this project is not to produce as optimized and computationally efficient ...