![Isolation Forest to detect anomalies in time series data](/content/images/size/w100/2024/03/P_anomalies-1.png)
Isolation Forest to detect anomalies in time series data
Learn to detect anomalies in time series with Python, using advanced techniques and Machine Learning algorithms.
Learn to detect anomalies in time series with Python, using advanced techniques and Machine Learning algorithms.
Python tutorial to unstack the row categories into columns (long to wide table) to later create a heat matrix.
Learn how to highlight the most valuable cells in a Pandas pivot table that summarizes information on billionaires by country and industry.
Step by step, you'll learn how to download, preprocess, and visualize data from the Spanish Electric Grid's API using Python.
Understand the structure of the EIA API and learn how to use it with Python to automate the downloads and exports into an Excel.
A step-by-step guide to automatically download, export and visualize economic data from the St. Louis Fed using their API with Python.
Processing a new variable to distinguish the periods of the 2008 financial crisis improves the statistical relationship between Mortgage Rates (MR) and Inflation (CPI).