In this article, I will apply machine learning techniques to make sales forecasting on certain time series problems. I will focus on suitable models according to the situations observed in time series. In the next article, I will talk about artificial neural networks. Let’s get started now!
A time series is a series of data points indexed (or listed or graphed) in time order. Most commonly, a time series is a sequence taken at successive equally spaced points in time. Thus it is a sequence of discrete-time data.
Time series data are experimental data such as monthly sales data observed…
In this article, I will use e-commerce data to take the first and most important step of data analysis with EDA, and thus we will see this data structure from the perspective I have gained thanks to my experience and research.
EDA or Exploratory Data Analysis is preliminary step in data analysis to summarize main characteristic of the data, gain better understanding of the data, uncover relationships between variables and see important variables in the data.
In short, it is a good practice to look at the data and try to extract as much meaning from it as possible.