Gilberto Titericz, Kaggle GrandMaster and top-1 in Kaggle Competitions Ranking for years, talks about two important topics in Machine Learning: Feature Engineering and Feature Selection 25 November 2019, Madrid - Part II
Пікірлер: 9
@gehallak6602 жыл бұрын
Thanks for the talk. Precious tips!
@SuperMsmystery2 жыл бұрын
Awesome talk
@swarajshinde39503 жыл бұрын
Slides please
@luisfernandodasilvamartine8453 Жыл бұрын
Amazing!
@igorkuivjogifernandes30122 жыл бұрын
Thank you very much for this talk
@leehongkai2 жыл бұрын
Thanks for the great summary and guide!
@javqui11027 ай бұрын
Excellent content, but very hard to read the slides text at the bottom-right
@jfjfcjcjchcjcjcj99472 жыл бұрын
@18:52 In that example, suppose that the table shown is our train data, now on the test data we don't have the columns "Color" nor "Target", plus our train data is of size 100 and test data of size 200. How is this approach gonna work @24:11 when your test set is of different size, plus the merge is based on a column on the train set which is absent on the test set?