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Bachelors thesis: Tracking temporal seasonality with intelligent methods

Author: Sebastián Čambál

This repository contains all the code used for the experiments in my bachelors thesis.

File hierarchy:

BP_time_series_forecasting_cambals/
├─ raw_data/
│  ├─ 2018/
│  │  ├─ SK_10_27210_2018_timeseries_CO.csv
│  │  ├─ SK_1_27236_2018_timeseries_SO2.csv
│  │  ├─ SK_20_27277_2018_timeseries_C6H6.csv
│  │  ├─ SK_5_27208_2018_timeseries_PM10.csv
│  │  ├─ SK_6001_35900_2018_timeseries_PM25.csv
│  │  ├─ SK_8_27323_2018_timeseries_NO2.csv
│  ├─ 2019/
│  │  ├─ SK_10_27210_2019_timeseries_CO.csv
│  │  ├─ SK_1_27236_2019_timeseries_SO2.csv
│  │  ├─ SK_20_27277_2019_timeseries_C6H6.csv
│  │  ├─ SK_5_27294_2019_timeseries_PM10.csv
│  │  ├─ SK_6001_35900_2019_timeseries_PM25.csv
│  │  ├─ SK_8_27323_2019_timeseries_NO2.csv
│  ├─ 2020/
│  │  ├─ SK_10_27210_2020_timeseries_CO.csv
│  │  ├─ SK_1_27236_2020_timeseries_SO2.csv
│  │  ├─ SK_20_27277_2020_timeseries_C6H6.csv
│  │  ├─ SK_5_27294_2020_timeseries_PM10_1.csv
│  │  ├─ SK_6001_35900_2020_timeseries_PM25_1.csv
│  │  ├─ SK_8_27303_2020_timeseries_NO2_1.csv
├─ .gitignore
├─ dataset.csv
├─ data_preparation.ipynb
├─ experiment1.ipynb
├─ experiment2.ipynb
├─ experiment3.ipynb
├─ README.md
├─ requirements.txt
├─ ready_data.csv
├─ real_data.csv
├─ test.csv
├─ trend_cleaned.csv
├─ trend_season_cleaned.csv

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