predictive-models
A repo of the Data Scientist team's open source predictive models.
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Download Latest Version (.zip)- 02. afl_feature_creation_tutorial-checkpoint.ipynb
- 03. afl_modelling-checkpoint.ipynb
- 04. afl_weekly_predictions-checkpoint.ipynb
- afl_data_columns_mapping.csv
- afl_fixture_2018.csv
- afl_match_results.csv
- afl_odds.csv
- afl_player_stats.csv
- weekly_odds.csv
- Stacking.png
- 01. afl_data_cleaning_tutorial.ipynb
- 02. afl_feature_creation_tutorial.ipynb
- 03. afl_modelling.ipynb
- 04. afl_weekly_predictions.ipynb
- afl_data_cleaning_v2.py
- afl_feature_creation_v2.py
- afl_modelling_v2.py
- README.md
- afl_brownlow_data.csv
- afltables_stats.csv
- betfair_datascientists_2018_predictions.csv
- brownlow_predictions_2018_round_by_round.csv
- captains.csv
- prediction_errors_df.pickle
- brownlow_2017_model_v1
- brownlow_2018_model_v1
- GLM_1_AutoML_1_20220218_115719
- GLM_1_AutoML_1_20220221_170116
- yearly_model_2011
- yearly_model_2012
- yearly_model_2013
- yearly_model_2014
- yearly_model_2015
- yearly_model_2016
- yearly_model_2017
- MathJax.js.download
- Betfair Data Scientists' Brownlow Model.ipynb
- README.md
- Taking Home Charlie.html
- takinghomecharlie.Rmd
- takinghomecharlie_end_to_end.R
- 01. Data Acquisition & Exploration-checkpoint.ipynb
- 02. Data Preparation & Feature Engineering Tutorial-checkpoint.ipynb
- 03. Model Building & Hyperparameter Tuning-checkpoint.ipynb
- 04. Weekly Predictions-checkpoint.ipynb
- 05. Analysing Predictions & Staking Strategies-checkpoint.ipynb
- data_preparation_functions.cpython-36.pyc
- weekly_prediction_functions.cpython-36.pyc
- epl_data.csv
- fixture.csv
- historic_games_pre2005.csv
- marketValues.csv
- team_values.csv
- weekly_epl_odds.csv
- weekly_game_info.csv
- 01. Data Acquisition & Exploration.ipynb
- 02. Data Preparation & Feature Engineering Tutorial.ipynb
- 03. Model Building & Hyperparameter Tuning.ipynb
- 04. Weekly Predictions.ipynb
- 05. Analysing Predictions & Staking Strategies.ipynb
- data_preparation_functions.py
- README.md
- weekly_prediction_functions.py
- prod_functions.py
- automl_model_20190315102903
- .gitignore
- last_round_predicted.txt
- prod.py
- README.md
- prod_functions.py
- automl_model_20190315102903
- last_round_predicted.txt
- prod.py
- README.md
- john_smith_numbersman1.csv
- wc_datathon_dataset.csv
- elo-model-walkthrough.R
- machine-learning-walkthrough.R
- README.md
- README.md
// repository documentation
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