a = [1, 2, 3] b = [1, 2, 3] c = a print(a == b) print(a is b) print(a is c) class A: def __init__(self): print("A init") class B(A): def __init__(self): print("B init") super().__init__() class C(A): def __init__(self): print("C init") super().__init__() class D(B, C): def __init__(self): print("D init") super().__init__() d = D()
What is DDPG and what tasks is it suitable for?
What is Elliptic Envelope and what are the assumptions of the method?
a = [1, 2, 3] b = [1, 2, 3] c = a print(a == b) print(a is b) print(a is c)
What is the difference between an error function and error functionality?
What are the manufacturing features when forecasting on thousands of time series?
What is PR-AUC vs ROC-AUC in the case of extreme imbalance?
Calculate the total revenue for each user. Find their first and last purchase dates. Add a new column prev_revenue to the dataframe, which contains the revenue of the previous purchase of the same user (shift within the group). If there is no previous, set NaN.
What is SHAP for tree models and why TreeSHAP?
What model was obtained in the churn project, how many features were there, and what was the sample size?
What assumptions are needed to build a linear regression?
How to accelerate gradient descent with a very large number of features?
What is Simpson's paradox in A/B testing?
What is L1- and L2-regularization and why can L1 zero out weights?
Do you have any questions about the project and the work format?
How to handle missing data, including in time series?
Tell us about your experience working in Data Science.
Tell me about a regression project for predicting the market value of real estate and the model used.
Have you worked with neural networks?
How do you feel about business trips to the production site?
