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GitHub / sharmaroshan / Avito-Demand-Prediction-Challenge

It is a Competition for Regression Challenge held by Kaggle, It is based on a Avito Dataset whose size is 123GB which can be accessed from Kaggle, I have done Data Pre-processing, feature engineering, feature extraction, data visualization, machine learning, stacking and boosting

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sharmaroshan%2FAvito-Demand-Prediction-Challenge

Stars: 8
Forks: 3
Open Issues: 0

License: gpl-3.0
Language: Jupyter Notebook
Repo Size: 3.56 MB
Dependencies: pending

Created: about 5 years ago
Updated: 8 months ago
Last pushed: about 5 years ago
Last synced: 8 months ago

Topics: boosting, business-solutions, data-cleaning, data-science, data-visualisation, eda, feature-engineering, feature-extraction, modelling, regression-analysis, scaling, skewness, statistics

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