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54 lines
1.5 KiB
54 lines
1.5 KiB
1 year ago
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#### First Kaggle: Titanic
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##### Preliminary
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```
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project
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│ README.md
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│ environment.yml
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│ username.txt
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│
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└───data
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│ │ train.csv
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│ | test.csv
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│
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└───notebook
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│ │ EDA.ipynb
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|───scripts
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│
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```
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###### Does the structure of the project is as below ?
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###### Does the readme file give an introduction of the project, show the username, describe the feature engineering and show the best score the on the leaderboard ?
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###### Does the environment contain all libraries used and their versions that are necessary to run the code ?
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##### Feature engineering
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###### Does the notebook can be executed without any arror ?
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###### Does the notebook explain the feature engineering that contributed to improve the accuracy ?
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##### Scripts
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###### Can you train the best model on the train data with feature engineering without any error ?
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###### Can you predict on the test set using the best model without any error ?
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###### Is the score you get **on the test set** with the best model is close to what is expected ?
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##### Final score
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###### Is the accuracy associated with the username in `username.txt` is higher than 79% ? The best submission score can be accessed from the user profile.
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##### Examples
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Here are two very good submissions explained and detailed:
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- https://www.kaggle.com/konstantinmasich/titanic-0-82-0-83
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- https://www.kaggle.com/sreevishnudamodaran/ultimate-eda-fe-neural-network-model-top-2
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