Вводный стрим по xgboost

In this stream, we'll explore solving a regression problem using the xgboost library. We'll test on a synthetic dataset. We'll examine how the amount of data and its dimensionality affect the model's performance. We'll simulate the effect of overfitting. We'll attempt to predict the outcome beyond the training set. We'll also discuss topics from the comments during the stream; feel free to ask any questions you may have. Libraries used: xgboost.