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https://github.com/danielprasetyo7952/comp-gammafest
Necessary, Insightful information towards the GAMMAFEST competition
https://github.com/danielprasetyo7952/comp-gammafest
Last synced: 4 days ago
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Necessary, Insightful information towards the GAMMAFEST competition
- Host: GitHub
- URL: https://github.com/danielprasetyo7952/comp-gammafest
- Owner: danielprasetyo7952
- License: mit
- Created: 2023-05-10T09:44:01.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-05-10T10:33:09.000Z (over 1 year ago)
- Last Synced: 2023-09-06T04:28:25.266Z (about 1 year ago)
- Language: Jupyter Notebook
- Size: 1.92 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# All the archives and notes from the GAMMAFEST 2023 Competition
## Notes
All necessary, insightful information that we've got along the journey in the competition
### Dataset that've been analyzed, used for practice
- [water_potability](water_potability.csv) | [Source](https://www.kaggle.com/datasets/adityakadiwal/water-potability)
### Preprocessing Pipeline
1. cek missing data dan isikan data baru | [Exploratory Data Analysis](exploratory_data_analysis.ipynb) | [Data Imputation](data_imputation.ipynb)
2. cek boxplot | [Exploratory Data Analysis](exploratory_data_analysis.ipynb)
3. cek correlation | [Exploratory Data Analysis](exploratory_data_analysis.ipynb)
4. lakukan normalisation | [Data Normalization](data_normalization.ipynb)
5. lakukan split data sebanyak 3 (training validation testing) (HOLD-OUT) atau cross validation sebanyak 5, 7, 10 putaran