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.