Predicting recipes of cuisines - Data Mining and Exploration project repository (Team 22)

This repository contains the files used for this mini-project. This project was developed using Python and Jupyter notebooks.

The following libraries were used:

The project is structured in sections using different Jupyter notebooks for a smoother experience:

EDA.ipynb notebook contains the work done for the Exploratory data analysis
dim_reduction.ipynb notebook contains the work done for dimensionality reduction
best_match.ipynb notebook contains the best match function developed for giving ingredient suggestions
get_recipe.py is a helper script used by dim_reduction and EDA notebooks. There is no need to open this file as the functions contained in this script are called by the notebooks
requirements.txt file contains all the libraries used in the notebooks and Python scripts above
/data folder contains the data collected for the MSc thesis from Bellosi (2011) used in this project.
/report folder contains the LaTeX source code of the project report

To explore the work done in this project, simply open each Jupyter notebook and run the cells.

Name		Name	Last commit message	Last commit date
Latest commit History 15 Commits
__pycache__		__pycache__
data		data
report_screenshots		report_screenshots
.gitignore		.gitignore
022.pdf		022.pdf
09.zip		09.zip
README.md		README.md
best_match.ipynb		best_match.ipynb
collaborative_filtering.ipynb		collaborative_filtering.ipynb
cuisine_prediction.ipynb		cuisine_prediction.ipynb
dim_reduction.ipynb		dim_reduction.ipynb
eda.ipynb		eda.ipynb
get_recipe.py		get_recipe.py
recommendation_evaluation_functions.py		recommendation_evaluation_functions.py
requirements.txt		requirements.txt
similarity_functions.py		similarity_functions.py

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