.
├── 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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