This project is a <type_of_modeling> that <do_something> to solve <this_problem> aimed to the clients of the <some_business>.
Data Dependencies
We are using the following Data Sources:
Source
Description
Year
Some Company
...
2000 - 2021
Usage
To run some experiment:
git clone <LINK TO THE REPO>
cd <REPO>
pip install -r requirements.txt
jupyter notebook notebooks/<EXPERIMENT NAME>.ipynb
To run some productized model pipeline step:
cd src
python main.py --help # Shows usage information.
python main.py features # Generate features
python main.py deploy_model # Deploy model
python main.py evaluate_model # Evaluate model
python main.py run # Run all model pipeline steps sequencially
To install this project as a lib:
pip install <LIB NAME>
Repository structure
scripts: contains some scripts to collect data
docs: contains extra documentation of the project (slides, data catalog, etc.)
notebooks: contains jupyter notebook experiments needed to collect, explore, prepare data, train and evaluate data.
requirements.txt: contains python dependencies to reproduce the experiments.
Create the README.md as the following sections:
Some refs:
For example:
Project Description
This project is a
<type_of_modeling>
that<do_something>
to solve<this_problem>
aimed to the clients of the<some_business>
.Data Dependencies
We are using the following Data Sources:
Usage
To run some experiment:
To run some productized model pipeline step:
To install this project as a lib:
Repository structure
scripts
: contains some scripts to collect datadocs
: contains extra documentation of the project (slides, data catalog, etc.)notebooks
: contains jupyter notebook experiments needed to collect, explore, prepare data, train and evaluate data.requirements.txt
: contains python dependencies to reproduce the experiments.