Data Science & Machine Learning Personal Projects This repository contains a collection of Jupyter Notebooks showcasing implementations and explorations of fundamental topics in data science, machine ...

Linear Trees combine the learning ability of Decision Tree with the predictive and explicative power of Linear Models. Like in tree-based algorithms, the data are split according to simple decision ...

The random forest machine learning algorithm was slightly better than RIDGE, LASSO, and elastic net penalized regression algorithms for predicting body weight of pigs. It was possible to predict the ...

The diagram in Figure 2 gives you a rough idea of support vector regression for a scenario where there is just one predictor variable x. Each dot is a training data item. The red line is the linear ...

At present, Symmetric Positive Definite (SPD) matrix data is the most common non-Euclidean data in machine learning. Because SPD data don’t form a linear space, most machine learning algorithms can ...