Project for SIAP
Firstly download datasets:
- Munich (https://www.kaggle.com/chriskue/munich-airbnb-data)
- Berlin (https://www.kaggle.com/brittabettendorf/berlin-airbnb-data)
Then create folder in root of the project, name: Datasets. Extract Munich dataset in path Datasets/Munich, then extract dataset Berlin in path Datasets/Berlin
Create virual environment in Anaconda (name of environment rental-env). Follow this (https://github.com/ftn-ai-lab/sc-2019-e2/blob/master/v0-priprema/podesavanje-okruzenja.ipynb)
Open Anaconda Prompt, activate environment (conda activate rental-env) and install libraries with (pip install [name]):
- numpy
- scikit-learn
- pandas
- seaborn
- sklearn