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The directory structure of new project should looks like this:

├── LICENSE
├── README.md          <- The top-level README for this project.
├── data               <- All Dataset in this directory (Content will be ignored by git)
├── logs               <- All logs in this directory (Content will be ignored by git)
├── models             <- Trained and serialized models, model predictions, or model summaries
├── research           <- Research codebase
│   └── notebooks      <- Jupyter notebooks. 
├── requirements.txt   <- The requirements file for reproducing the environment
└── src                <- Source code for use in this project.

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Machine Learning Python Project Folder Structure

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