Time Series forecasting is one of the most in-demand techniques of data science, be it in stock trading, predicting business sales or weather forecasting. It is clearly a very handy skill to have and I am gonna equip you with just that by the end of this article.

In this tutorial, we are gonna build an ARIMA model(don’t worry if you do not exactly know how this works yet) to predict the future temperature values of a particular city using python. GitHub link for the code and data set can be found at the end of this blog. I have also attached my YouTube video at the end, in case you are interested in a video explanation. So without wasting any time let’s get started.

#python #data-science