MyData AG helps people in the business to get more value from their data. Value from data comes in three forms: Increase revenue, reduce costs and Peace of mind. If you have data in the core of your business process…
Here’s a list of all relevant libraries for Time Series Forecasting. Good to have these gems in your bucket: đź“š Flow forecast Flow forecast is a deep learning for time series forecasting framework. It provides the latest models (transformers, attention…
Introduction PostgreSQL, or Postgres, is a relational database management system that provides an implementation of the SQL querying language. It’s standards-compliant and has many advanced features like reliable transactions and concurrency without read locks. This guide demonstrates how to quickly get Postgres…
Time series analysis is the process of gathering data over a period of time at regular intervals with the aim of discovering trends, seasonality, and residuals to help with event forecasting. Time series analysis entails attempting to anticipate future values…
What is Backtesting? Backtesting is the process of testing a model against historical data. By simulating past data conditions, you can ensure that your model is accurate. Think of it as cross-validation for time-series models. Why is the backtesting of…
When doing time series forecasting, it is important to have a good understanding of the external data that will be used to predict future events. This understanding can be gained by looking at past data and analyzing how it relates…