sdat2/MLBayesInfer

Machine Learning and Bayesian Inference Part II Computer Science Course Question

Machine Learning and Bayesian Inference

Requirements

• Python 3.8+

Getting started

Project Organization

├── LICENSE
├── Makefile           <- Makefile with commands like `make init` or `make lint-requirements`
├── README.md          <- The top-level README for developers using this project.
|
├── notebooks          <- Jupyter notebooks. 
│
├── report             <- Generated analysis as HTML, PDF, LaTeX, etc.
│   ├── figures        <- Generated graphics and figures to be used in reporting
│   └── sections       <- LaTeX sections. The report folder can be linked to your overleaf
|                         report with github submodules.
│
├── requirements       <- Directory containing the requirement files.
│
├── setup.py           <- makes project pip installable (pip install -e .) so src can be imported
├── src                <- Source code for use in this project.
│   ├── __init__.py    <- Makes src a Python module
│   │
│   ├── data_loading   <- Scripts to download or generate data
│   │
│   ├── preprocessing  <- Scripts to turn raw data into clean data and features for modeling
|   |
│   ├── models         <- Scripts to train models and then use trained models to make
│   │                     predictions
│   │
│   └── tests          <- Scripts for unit tests of your functions
│
└── setup.cfg          <- setup configuration file for linting rules

Code formatting

To automatically format your code, make sure you have black installed (pip install black) and call black . from within the project directory.

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