В этой статье, мы углубимся в изучение Jupyter Interactive Widgets и Ipyleaflet package, для визуализации картографических данных в Jupyter notebook.

The goal of this notebook is to explore COVID-19 and World Bank API data

The goal of this notebook is to provide an introduction to stock market portfolio optimisation using Python.

This article is the first of a short series on data analysis applied to finance, in which I’ll seek to demonstrate a few useful artifacts used by stock market professionals, data analysts and traders. The whole approach is done using Python.

In this notebook we will use the data-set, International football results from 1872 to 2019. We will try ANOVA hypothesis testing technique.

The goal of this article is to provide an easy introduction to stock market analysis using Python. In this notebook we will use pandas_datareader module. We will walk through a simple Python script to retrieve, analyze, and visualize data from different markets.

The goal of this notebook is to apply XGBoost to set of features from ohlcv indicators, fft results and arima predictions to test feature importance.