Accessible data science with Hal9 - Made with TensorFlow.js

Javier Luraschi, creator of Hal9, is using his platform to make data science more accessible for developers everywhere. Hal9 allows you to explore data sets by using TensorFlow.js in the browser. See Hal9 in action as he demonstrates how you can instantly visualize data from a whole bunch of sources, refine it, and then apply pre-made models for things like sentiment analysis to further process the input data to gain extra insights. We also dive into LSTMs for time series data, and image classification to better interpret datasets containing images to understand what types of imagery make up your dataset and more!


Try it for yourself:
Hal9 by Javier Luraschi → https://goo.gle/3nIByWr

Want to be on the show? Use #MadeWithTFJS to share your own creations on social media and we may feature you in our next show.

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Have a question? Ask it on the TensorFlow Forum and tag with “TFJS” → https://discuss.tensorflow.org/tag/tfjs



product: TensorFlow - TensorFlow JS, TensorFlow - General; fullname: Jason Mayes;

purpose: Inspirepr_pr: TensorFlowseries: Made With TensorFlow.js