Count stickers with Kaggle

I didn’t get around to entering Kaggle’s monthly competition because I have been busy studying other things, like statistics. I did, however, put my statistics studies away to enter the season 5 episode 1 playground competition before the cutoff date.

The object of this competition is to count the number of stickers sold in various stores in various countries over a period of time.

I wrote the script in Python using a Jupyter Notebook and saving it in my Kaggle account.

The first thing that I did after creating the Jupyter notebook in Kaggle was to import the libraries that I would need to execute it and make predictions on the number of stickers sold. The libraries that I imported are:-

1. Pandas to create dataframes and process data,
2. Numpy to create numpy arrays and perform numerical computations,
3. Os to go into the operating system of the Kaggle website,
4. Sklearn to provide machine learning functionality,
5. Pylab and scipy to print off qq plots,
6. Matplotlib to visualise the data, and
7. Seaborn to statistically visualise the data.