Instacart’s data science team plays a big part in providing this delightful shopping experience. Currently they use transactional data to develop models that predict which products a user will buy again, try for the first time, or add to their cart next during a session.
Práctica prestaciones de la virtualización para la asignatura Arquitecturas Virtuales para el curso 2021-2022. Universidad de Málaga, Grado en Ingeniería del Software
Fork just to monitor the changes
Allegheny County Voter Registration Analysis Tools
A language Independent Machine Learning pipeline with DVC, Rust and Python
🏁 EDA on Satellite data gathered from UCS
Awesome list of alternative dataframe libraries in Python.
Implementation log of Kaggle Otto-Recsys Competition
Python application for displaying history price of Solana
Solution to kaggle competition OTTO – Multi-Objective Recommender System: https://www.kaggle.com/competitions/otto-recommender-system
Repositório com um tutorial simples e claro de Polars, biblioteca de análise de dados no Python, uma alternativa ao Pandas.
Data pipeline example written in Rust with Polars and DataFusion DataFrame package
a quick data analysis reference by using polars dataframe instead of pandas on blending sheets and summerize.
Add a description, image, and links to the polars topic page so that developers can more easily learn about it.
To associate your repository with the polars topic, visit your repo's landing page and select "manage topics."