How mariuszandziak/bike_sharing works
This is a notebook-based Kaggle bike-sharing demand prediction project. Its documented work spans exploratory analysis, regression experiments (including feature selection and weather-related equations), and LSTM modeling, with a regression summary artifact. The README and filenames establish these capabilities, but no source excerpts show how data or results move between notebooks, so those connections are not inferred.
Main entry points: 00_BikeSharingEDA.ipynb Demand EDA · 01a_regression_pipelines_first_test.ipynb Initial regression · 01b_regression_pipelines_improved.ipynb Improved regression · 01c_bonus_meteo_equations_for_atemp.ipynb Weather equations
Components 14
Exploration
- Demand EDA
00_BikeSharingEDA.ipynb
Regression
- Initial regression
01a_regression_pipelines_first_test.ipynb - Improved regression
01b_regression_pipelines_improved.ipynb - Weather equations
01c_bonus_meteo_equations_for_atemp.ipynb - Final regression
02a_regression_final.ipynb - Regression with selection
02b_regression_final_with_fs.ipynb - Regression summary
02c_regression_summary.ipynb - Model summary data
regression_models_summary.csv
LSTM
- LSTM work in progress
03a_LSTM_blueprint_no_convergence_work_in_progress.ipynb - Final LSTM
03b_LSTM_final.ipynb - LSTM visual aid
03c_LSTM_visual_aid.pdf - LSTM conclusions
03d_LSTM_curves_for_linear_and_conclusions.pdf
Other components
- Analyst
- Bike-sharing data
Connections 9
- Analyst → Demand EDA: runs
- Analyst → Initial regression: runs
- Analyst → Improved regression: runs
- Analyst → Weather equations: runs
- Analyst → Final regression: runs
- Analyst → Regression with selection: runs
- Analyst → Regression summary: runs
- Analyst → LSTM work in progress: runs
- Analyst → Final LSTM: runs