Data Mining Project - SNCB Cool Train

Overview

This repo is our project "SNCB Cool Train" in the course "Data Mining" at Université Libre de Bruxelles (ULB).

Here we only use a mini file ar41_for_ulb_mini.csv. You can get the full raw data file ar41_for_ulb.csv (1.9GB) provided by the lecturer.
Go to https://account.mapbox.com/access-tokens/ and create an access token, then put it at mapbox_access_token= in the file app.py.

Clone the repo

git clone https://github.com/hieunm44/dm-sncb-cool-train.git
cd sdm-sncb-cool-train

Install necessary packages
```
pip install -r requirements.txt
```
Get weather data from https://open-meteo.com/ through API calls then integrate to raw data.
```
python3 data_integration.py
```
Then two files weather_data.csv and merged_data will be created in the folder data.
Check the file preprocess_data.ipynb for data preprocessing and model training. Several data files and model files will be created.
Run the visualization app. Here we only use the file sample_data.csv (a portion of full data), so that the application can run smoothly.
```
python3 app.py
```

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
data		data
models		models
preds		preds
DM.ipynb		DM.ipynb
INFOH423 Data Mining – Project 23-24.pdf		INFOH423 Data Mining – Project 23-24.pdf
README.md		README.md
app.py		app.py
app_overview.png		app_overview.png
data_integration.py		data_integration.py
requirements.txt		requirements.txt
slides.pdf		slides.pdf