jungyeon's repository for the project
If you want to make presentation slides with .ipynbfile.
jupyter nbconvert EDA.ipynb --to slides --post serve
Main notebooks I referred to
EDA
- https://www.kaggle.com/carlmcbrideellis/jane-street-eda-of-day-0-and-feature-importance
- baseline
- https://www.kaggle.com/mrutyunjaybiswal/jane-street-details-explained-eda-metrics#4.3-features
- metadata
- https://www.kaggle.com/taherhaggui/eda-missing-values-tsne-clustering-class-imb
- t-sne
- https://www.kaggle.com/jonykarki/feature-importance-using-random-forests
- feature selection
Modeling
- https://www.kaggle.com/glongpan/pytorch-bottleneck-mlp-solution
- auto encoder
- https://www.kaggle.com/trevenanter/pytorch-nn
- pytorch simple nn
- https://www.kaggle.com/jonykarki/neural-network-pytorch-lightning
- pytorch lightning
- https://www.kaggle.com/saurabhshahane/voting-classifier-beginners
- sklearn classifiers
- https://www.kaggle.com/backtracking/lstm-baseline-pytorch
- lstm