This is our project for course "Big Data Analytics and Mining@cirly", it aims to explore techniques for processing, analyzing, and mining large datasets. Throughout this project, we'll delve into tasks such as data collection, cleaning, feature extraction, model development, and result visualization.
~/: Main working directorydata/: Contains raw data files and preprocessed datasets.utils/: Contains source code for data processing, feature extraction, model training, etc.results/: Stores model prediction results, visualization charts, and other output files.requirements.txt: Lists the Python library dependencies for the project.
- Clone the project to your local environment.
- Install project dependencies:
pip install -r requirements.txt. - Run source code files for data processing, feature extraction, and model training.
- Analyze the results and save them in the
results/directory.
- Caishihao
- Classmates