How is a random forest structured and what are its advantages and disadvantages?
Middle
297
Machine Learning / AI
3611
0
There is data with different time granularities: some are recorded hourly, some daily. What to do with this?
Middle
259
What are Delta Lake / Iceberg / Hudi and why lakehouse?
Middle — Senior
211
What was the final sample size and how many initial and selected features were in the project?
Middle
205
Tell us more about your end-to-end experience: what stages did you perform from task setting to deploying the model in production?
Middle
204
What is doubly robust estimation?.
202
202
What is over-squashing in GNN?
Middle — Senior
195
190
What examples of feature engineering have you performed in projects?
Middle
190
Why are shallow trees usually used in boosting, and how does the number of trees affect overfitting?
Middle
186
Calculate the total revenue for each user Find the first and last purchase date for each user.
Middle
185
178
How can the error functionality be modified?
Middle
175
What is NGBoost and probabilistic predictions?
Middle — Senior
174
172
What is holdout users and why keep constant control?
Middle — Senior
168
import pandas as pd import numpy as np data = { 'user_id': [1, 1, 1, 2, 2, 3, 3, 3, 4], 'date': ['[phone]', '[phone]', '[phone]', '[phone]', '[phone]', '[phone]', '[phone]', '[phone]', '[phone]'], 'revenue': [100, 200, 150, 300, 250, 100, 100, 100, 400] } df = pd.DataFrame(data) df['date'] = pd.to_datetime(df['date']) Calculate the total revenue for each user.
Middle
167
What is a model inversion attack?
164
164