<aside> 🚀 In the last 5 years, spaCy has become an industry standard for NLP in Python with a broad ecosystem of makers. Deepnote is becoming the go-to notebooks tool for data scientists and modern data teams, with the community building hundreds of data science projects and articles on the platform. Now spaCy and Deepnote join the forces to help you bring the power of NLP into notebooks. Are you up for the challenge?
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We invite you to create & publish a Deepnote notebook leveraging the power of spaCy. The notebook topic, approach and the toolkit you use are all up to you - just let your creative self flow.
The submission deadline is October 31 November 14, 2021. Our panel of judges will pick 3 winners and reward the best published notebook with $1,000 and other great prizes. You can build a notebook on any topic of your interest or pick some of the challenges we've designed for you below.
Challenge #1: Build an unusual Food AI with a pinch of madness
Challenge #2: Analyse sentiment from GoodReads vs IMDB reviews
Challenge #3: Use Jina and spaCy in a weird yet interesting way
You can make your submission in 3 easy steps:
Step 1: Create a notebook in Deepnote
Build a data science notebook that uses spaCy in Deepnote. You can sign up here using your Google or GitHub. New to Deepnote? Here's a quick crash course.
Step 2: Publish your notebook
With Deepnote, you can publish your notebook in one click and make it into an article, a dashboard or an interactive app. Here's a video on how to publish your notebook.
https://www.loom.com/share/868922797a044030b4577a54fc24725c
Step 3: Share your published notebook
To make a submission, post the URL link of your notebook into the Showcase channel in Deepnote community. This is a great space to get feedback on your work and get inspired by portfolios of fellow data scientists.