Weather data can be found everywhere and can be used to generate a lot of useful information. This information can be helpful to find patterns in the previous year and use these pattern for business intelligence. In this chapter, we used a temperature dataset from Kaggle to generate some models.
We used the dataset to predict future temperature and to generate some visualization charts for analysis. In the next chapter, we are going to get our hands dirty with an IMDb dataset and generate more complex models using similar Python libraries. If you want to get a head start, make sure you know what IMBb datasets are and why they're important.
