schneiderman

Predictive analytics for daily fantasy basketball.

Installation

pip install -r requirements.txt

Project Structure

Executables

Code

The python code is contained within the schneiderman module.

Any executable files (python or otherwise) are within bin/.

`schneiderman/`:

scrape/ Various data scrapers.
models/ Persistent storage for scraped and processed data.
regresssion/ The linear modeling tools used on the gathered data to predict weekly scores.
lineup/ Randomized algorithm used in generating lineups from predicted weekly scores.

Data

static Static data. Supports analysis, changes infrequently, fetched manually.
data/ The user local data folder. Used for temporary storage of pipeline stage data. Ignored by git.
- data/clean Output data from bin/clean.
- data/scrape Output data from bin/scrape
- data/games Output data from bin/load_games
- data/train Output data from bin/train
- data/predict Output data from bin/predict
- data/lineup Output data from bin/lineups