Category: Python, Pandas

The Transformative Role of Large Language Models in Time Series Forecasting

Time Series Forecasting (TSF) is crucial in data science for predicting future values from historical data. Traditional methods often struggle with complex, variable data, but Large Language Models (LLMs) offer new capabilities. LLMs excel in capturing intricate patterns and handling unstructured data like text, enhancing forecast accuracy. They are...

Raspberry Pi controlled ceramic kiln

In this series of articles I am sharing my experiences with building a Raspberry Pi-controlled kiln from a second hand kiln. In this initial installment, I share my process of […]...

Multivariate data, multiviews and interaction

This article I will cover how to: Understand the application of multivariate data Understand the functions of multiviews Datatypes defined by Ben Shneiderman Apply multiviews for exploratory and explanatory data […]...

String formatting with variables

The method to use is: str.format(*args, **kwargs) Perform a string formatting operation. The string on which this method is called can contain literal text or replacement fields delimited by braces {}. Each […]...