Data science learning

In this post we take a look a how the mathematical idea of a convolution is used in probability. In probability a convolution is a way to add two random variables. Using a slightly ridiculous, mad-science, example we walk through multiple way to compute a convolution and ultimate arrive at the formu

biPartite - Adding labels. GitHub Gist: instantly share code, notes, and snippets.

Jupyter Notebook is a powerful tool for data analysis. Here are 28 tips, tricks and shortcuts to turn you into a Jupyter notebooks power user!

Got some data, relating to how students move from one module to another. Rows are student ID, module code, presentation date. The flow is not well-behaved. Students may take multiple modules in one presentation, and modules may be taken in any order (which means there are loops…). My first take on the data was just […]

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Statistical tools for data analysis and visualization

The article studies the advantage of Support Vector Regression (SVR) over Simple Linear Regression (SLR) models for predicting real values, using the same basic idea as Support Vector Machines (SVM) use for classification.

Use box plots to illustrate the spread and differences of samples.

Believe it or not, the box-and-whisker is not just a box and some whiskers.

A widely used S-shaped function, which is used in machine learning and neural networks.

Sigmoid functions ae mainly used for neural networks and deep learning as activation functions.

Fitting Polynomial Regression in R | DataScience+