gdso-avito

Predicting the demand for listed items in Avito (Russian Craigslist) from a combination of tabular, text and image data. This is for example to set the seller's expectation based on their listing.

This is a Kaggle competition ( https://www.kaggle.com/c/avito-demand-prediction ) that we do during the data science workshop held by graduate data science organization (GDSO) where students and postdocs form teams of 4 mentored by data scientists from industry to work on some practical problems while learning to use their data science skills, network and have fun!

To explore this project, please click on the icon below or see the Google Slide presentation:

This project is mentored by Joel Barajas ( https://www.linkedin.com/in/joel-barajas-bb06b78/ ).

Name		Name	Last commit message	Last commit date
Latest commit History 166 Commits
.circleci		.circleci
data		data
examples		examples
figures		figures
predictions		predictions
Darius_test.ipynb		Darius_test.ipynb
Price_figures_for_slideshow.ipynb		Price_figures_for_slideshow.ipynb
README.md		README.md
all_samples_features.ipynb		all_samples_features.ipynb
ensemble.ipynb		ensemble.ipynb
index.ipynb		index.ipynb
kernels_summary.ipynb		kernels_summary.ipynb
load_files.ipynb		load_files.ipynb
main.ipynb		main.ipynb
main2.ipynb		main2.ipynb
main_category.ipynb		main_category.ipynb
main_category3.ipynb		main_category3.ipynb
naive_linear_regression.ipynb		naive_linear_regression.ipynb
nlp.ipynb		nlp.ipynb
normalized_price.ipynb		normalized_price.ipynb
optimized_tabular_model.ipynb		optimized_tabular_model.ipynb
optimized_tabular_nlp_model.ipynb		optimized_tabular_nlp_model.ipynb
periods.py		periods.py
periods_aggregate_features.ipynb		periods_aggregate_features.ipynb
periods_feature_extraction.ipynb		periods_feature_extraction.ipynb
periods_item_activation_date.ipynb		periods_item_activation_date.ipynb
requirements.txt		requirements.txt
setup.py		setup.py
test_utils.py		test_utils.py
title_description_analysis.ipynb		title_description_analysis.ipynb
tpot_example.ipynb		tpot_example.ipynb
tpot_functions.py		tpot_functions.py
train_periods_features.ipynb		train_periods_features.ipynb
train_periods_model.ipynb		train_periods_model.ipynb
train_tabular.ipynb		train_tabular.ipynb
utils.py		utils.py
visualize_periods.ipynb		visualize_periods.ipynb

albalu/gdso-avito

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