Intermediate ML Kaggle

Question 1

ускорить (одним словом)

Answer 1

to accelerate

Question 2

справляться с типами данных

Answer 2

tackle data types

Question 3

проектировать цепочки обработки для анализа данных

Answer 3

design pipelines for data analysis

Question 4

Утечка в дата сайнс, когда модель подсматривает правильный ответ

Answer 4

leakage

Question 5

Что такое Pipeline?

Объединяет всю обработку данных и обучение модели в одну цепочку.

Answer 5

Pipeline combines all data preprocessing and model training into a single workflow.

Question 6

Валидация и крос валидация

Answer 6

In cross-validation, we run our modeling process on different subsets of the data to get multiple measures of model quality.

For example, we could begin by dividing the data into 5 pieces, each 20% of the full dataset. In this case, we say that we have broken the data into 5 “folds”

Question 7

The most accurate modeling technique for structured data

Answer 7

XGBoost

Question 8

ensemble method

Answer 8

We refer to the random forest method as an “ensemble method”. By definition, ensemble methods combine the prediction of several models (e.g., several trees, in the case of random forests).