pyextremes is a Python library aimed at performing univariate Extreme Value Analysis (EVA). It provides tools necessary to perform a wide range of tasks required to perform EVA, such as: extraction of ...

In univariate data analysis, outlier detection is focused on finding data points that deviate significantly from the pattern of the majority of a single variable's data set.

This Python code demonstrates the process of performing time series analysis using the Seasonal Autoregressive Integrated Moving Average (SARIMA) model. The dataset used in this analysis contains ...

RSA provides a novel way of observing big data, which is powerful in the field of cognitive neuroscience. An increasing number of studies have used such multivariate analysis to obtain novel ...

Although there are numerous python libraries for time series analysis, which ones to rely on is an important question to address. In this article, we will talk about the top 10 Python libraries for ...

Python is one of the most popular programming languages in the financial industry, with a huge collection of accompanying libraries. In this new edition of the Python for Finance Cookbook, you will ...

Use modern Python libraries such as pandas, NumPy, and scikit-learn and popular machine learning and deep learning methods to solve financial modeling problems Purchase of the print or Kindle book ...