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With DataPrep.Clean, you can detect whether the data format (e.g., email, phone, address,...) is correct and clean them using one line of code! Please check our recent blog about DataPrep.Clean @TDataScience : towardsdatascience.com/dataprep-clean… #DataPrep #DataScience #DataClean #Python
Do you want to crawl data from different websites (e.g., Twitter, Spotify, Yelp, Finnhub, iTunes...) using a unified API? Please check our recent blog about DataPrep.Connector in @TDataScience : towardsdatascience.com/dataprep-conne… #DataScience #crawl #dataprep #Python
towardsdatascience.com
DataPrep.Connector: The easiest way to retrieve data from APIs | Towards Data Science
Abstract: DataPrep.Connector is a component of the DataPrep library for Python that speeds up data loading. The tool reduces the overhead...
We are very pleased to announce that Professor Carsten Binnig at TU Darmstadt will give a speech titled "Towards Democratizing Data Science" on March 24, 2021 (Wednesday), 11:30 am - 12:45 pm Pacific time. Click data.cs.sfu.ca/tdsa.html for more information!
Thank you all for your encouragement and feedback. We will keep improving DataPrep and make it "scikit-learn" for data preparation. #Reddit reddit.com/r/Python/comme…
DataPrep reaches 300 stars on Github 🎉🎉🎉 github.com/sfu-db/dataprep
github.com
GitHub - sfu-db/dataprep: Open-source low code data preparation library in python. Collect, clean...
Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code. - sfu-db/dataprep
🍻 Happy DataPrep anniversary🥇!!! DataPrep enables you to create task-centric data analysis with just one simple line of code! To learn more, please visit: github.com/sfu-db/dataprep towardsdatascience.com/exploratory-da…
We are happy to release dataprep 0.1! It is a python library aimed at simplifying data preparation. You could write a few lines of code to collect data from multiple webs (e.g., twitter, yelp), and do exploratory data analysis! Please visit dataprep.ai to learn more!
Want to enrich your local database with Deep Websites (e.g., Yelp, IMDb, DBLP)? Please check out our recent paper, entitled "Progressive Deep Web Crawling Through Keyword Queries For Data Enrichment.", in SIGMOD 2019! Congrats to Pei Wang! #sigmod2019
Jiannan @jiannwang gives a talk entitled 'Speeding Up Data Science: From a Data Management Perspective' at Alibaba Seattle Office. Three research projects are presented: (1) DeepER, a data enrichment system. (2) TARS, a label cleaning advisor. (3) AQP++, an AQP engine.
Want to fill the gap between learning with noisy labels and ground-truth labels. Please check out our recent paper, entitled "Cleaning Crowdsourced Labels Using Oracles For Statistical Classification.", in VLDB 2019! Congrats to Mohamad and Mathew!
Spring Festival Couplets. Our new year resolution: EAT WELL SLEEP WELL HAVE FUN DAY BY DAY. WORK HARD PLAY HARD PUBLISH PAPERS MORE AND MORE!😜 #2018SpringFestival
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