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Tylerr's user avatar
Tylerr's user avatar
Tylerr
  • Member for 5 years, 11 months
  • Last seen more than a week ago
13 votes

Why is it that my colleagues and I learned opposite definitions for test and validation sets?

10 votes

Can I (justifiably) train a second model only on the observations that a previous model predicted poorly?

7 votes

Can you suggest a novice method for detrending and deseasoning time series to find relationship between two variables?

5 votes

What exactly is the gblinear booster in XGBoost?

4 votes
Accepted

Time Series Chow test & Bai Perron test

4 votes
Accepted

Best practise for model selection when building predictive models?

4 votes

Why is XGBoost so Good? And Boosting/Trees in General?

3 votes

How to make predictions with non-parametric regression?

3 votes
Accepted

What's the purpose of learning rate in sklearn AdaBoost implementation

3 votes

How do you learn labels with unsupervised learning?

3 votes
Accepted

Is there any need for regularization in an overdetermined multiple regression problerm?

3 votes

How many data points for test set in a time series

3 votes

Ways to increase forecast accuracy

2 votes
Accepted

How do we make predictions for future data when you have lagged dependent features used in training?

2 votes

Can you combine Facebook Prophet (fbprophet) with ARMA?

2 votes

What is the purpose of using duplicated data in resampling techniques (e.g., bagging/bootstrapping)?

2 votes

What is the impact of a dummy variables to boosted trees?

2 votes
Accepted

Ensemble vs statistical power

2 votes

The difference between statistical models and estimation methods, for example GLS and GLM

2 votes

How to tune the weak learner in boosted algorithms

2 votes

How to detect trend changes in noise time series?

2 votes

Can we change the algorithms used for computing trends when decomposing time series?

2 votes

Boosting using other "weak learners" than trees

2 votes

Tuning ARIMA/ETS for univariate time series

2 votes

Books/notes recommendation for a rigorous explanation of Classical Linear Regression

2 votes

Is there a theortical benefit from increasing the frequency of a time series, eg monthly instead annual data

1 vote
Accepted

How to use errors to improve a regression?

1 vote

Build one ARIMA model for multiple time series

1 vote
Accepted

ML model to forecast time series data

1 vote
Accepted

Probability that a student will pass both tests