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.
├── 00_data_wrangling
│   └── stocks
│       └── data
├── 01_webscraping
│   ├── booking
│   │   └── booking
│   │       └── __pycache__
│   ├── csgo_skins
│   ├── digitec
│   │   └── digitec
│   ├── fide
│   │   ├── data
│   │   └── plots
│   └── transfermarkt
│       └── football
│           └── __pycache__
├── 02_simulations
│   ├── bayesian_gjr
│   ├── posters
│   │   ├── copula_simulations
│   │   │   └── Data
│   │   │       └── VaR
│   │   ├── mandelbrot
│   │   ├── random_walk
│   │   │   └── Animations
│   │   └── sierpinski_triangle
│   │       └── Animations
│   └── quasi_mc
├── 03_machine_learning
│   ├── boosting
│   ├── deep_learning
│   │   ├── cnn_xgb
│   │   ├── lightning
│   │   ├── lr_scheduler
│   │   ├── nlp
│   │   └── timeseries_forecasting
│   ├── hyperparametertuning
│   │   ├── optuna
│   │   │   ├── models
│   │   │   └── results
│   │   └── ray_tune
│   └── model_stacking
│       ├── data
│       └── plots
└── 04_numerics
    └── rcpp
        ├── column_operations
        ├── mle
        ├── pca
        └── seroprevalence

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