It’s a time-series dataset consisted of daily sales data of Russian software firms 1C Company. The mission for this competition is to predict total sales for every product and store for the next month from the given dataset.
ID - an Id that represents a (Shop, Item) tuple within the test set
shop_id - unique identifier of a shop
item_id - unique identifier of a product
item_category_id - unique identifier of item category
item_cnt_day - number of products sold. We are predicting a monthly…
* Noted that one song can have a combination of two or more music genre such as Pop-Rock or HipHop-Pop
We will try to extract the percentage of genre in that song.
Train dataset: 10 hours of non-lyrics and lyrics for each genre (collected from YouTube )