A popular and widely used statistical method for time series forecasting is the ARIMA model. ARIMA is an acronym that stands for AutoRegressive Integrated Moving Average. It is a class of model that captures a suite of different standard temporal structures in time series data. In this tutorial, you will discover how to develop an … Continue reading How to Create an ARIMA Model for Time Series Forecasting in Python
One morning in August 2012 in a car park in Leicester in the English midlands, a mechanical digger was starting to cut into the concrete surface. A number of interested spectators were present, hoping against hope that something amazing but highly improbable might occur. Some rugged detective work had led a group of amateur and … Continue reading The king that graph theory discovered
In April, I permanently deleted my Facebook presence. I joined in 2008 and was fairly active over the years. In the process of deleting my account, I downloaded all my data. I couldn’t resist asking myself: what does this digital time capsule tell me about a decade of my life? And what hints does it … Continue reading Analyzing Facebook posts and activity using Topic Modelling and other NLP methods
In this article, we will use a simple example to illustrate the underlying process of learning from positive and negative examples, which is the simplest form of classification learning. Learning from a training set Imagine that a company has a recruiting process which looks at many thousands of applications and separates them into two groups — those who … Continue reading How does Machine Learning work?