Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
https://github.com/awslabs/autogluon
https://autogluon.mxnet.io/
AutoGluon automatically inferences the problem type. However, you are still able to specify the probelm type if AutoGluon fails to infer the …
sklearn.model_selection.train_test_split
is the best way to split a dataset into train and test subset
for scikit-learn compatible packages (scikit-learn, XGBoost, LightGBM, etc.).
It supports splitting both iterable objects (numpy array, list, pandas Series) and pandas DataFrames.
When splitting an iterable object,
it returns (train, test) where train and test are lists.
When splitting a pandas DataFrame,
it returns (train, test)
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
CS231n: Convolutional Neural Networks for Visual Recognition is a great introduction of CNN.
http://vision.stanford.edu/teaching/cs231n/
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
scikit-learn-contrib/imbalanced-learn is a Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
http://colah.github.io/posts/2015-08-Understanding-LSTMs/