GitHub / armahdavi / data_pipeline_analytics_statistics_ML_PM_PSD_residential_QFF

Sharing all the data pipelines and processing codes, statistical modellings, descriptive statistics, plot visualizations, and machine learning from Mahdavi & Siegel (2021) (Indoor Air) Project Miestone: 2017 - 2020 Full-length article: https://onlinelibrary.wiley.com/doi/abs/10.1111/ina.12782

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/armahdavi%2Fdata_pipeline_analytics_statistics_ML_PM_PSD_residential_QFF

Topics: data-science, data-visualization, dust, hvac, indoor-air-quality, jupyter-notebook, machine-learning, matplotlib-pyplot, numpy, pandas, python, scikit-learn, scipy-stats, spyder, spyder-python-ide, statistics

• Files
• Readme
• Dependencies