Time Series Forecasting with Supervised Machine Learning

When I first saw a time series forecasting problem I was very confused. Until that moment, I just did some supervised learning predictions on tabular data so I didn't know how to do the forecastings if I didn't have the target values. I decided to write about the machine learning approach of solving time series problems because I believe that these models are very versatile and powerful and they're much more beginner friendly than other statistical approaches. We are going to use Kaggle's Bike Sharing Demand competition dataset because it suites perfectly for this tutorial. Before using any model, it's important to do some time series analysis to understand the data.