Tabular Playground Series(TPS) July 2021
Published in Kaggle, 2021
Competition: https://www.kaggle.com/c/tabular-playground-series-jul-2021
Models used
Main Features
- Feature creation
- Feature selection
- Log scaling outputs
- K-folds training
AutoML for optimization - tried PyCaret and AutoGluon
- Smart ensembling
File structure
├── input
│ ├── train.csv
│ ├── test.csv
│ ├── submission_sample.csv
├── model_01
│ ├──
├── model_02
│ ├──
├── model_03
│ ├──
├── Images
│ ├── Leaderboard.png
│ ├── Pipeline.png
│ ├── My_Profile.png
├── Readme.md
├── EDA_analysis.ipynb
├── Feature_selection and PCA.ipynb
├── Train_&_Predict.ipynb
└── requirements.txt
Data Preparation
Pipeline launch example
Training: Inference: Submit: