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…ions in the data from races
…ared to finishing position
…from our created datasets
got pipenv working on my machine in PyCharm
Were not using those... so no need to clutter our config
use pd.read_csv('../data/train_data.csv') for loading data. Emphasis on the '../'
was not the .gitignore file
…e management of the data folder in the feature directory
…e management of the data folder in the feature directory
…ed in the proposal
… So far the MLP works and achieves a 21% accuracy. TODO get the abstract class evaluate to work for every model in the repo. Also this commit contains the code for generating the proposed models
streamlit page for api demo
for things that matter
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.venv was missing from the .gitignore