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#threader2 parse file to output data in array
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turn html into tokens, integers, and embedding
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change learning progress from binary to 5 scale
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Transform raw voting dataset into normally-distributed labeled corpus to train the LM encoder for classification #guard
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converted data
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Begin converting messy text data to categorized jsons #positify
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encode html into tokens
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second round coding of data based on categories and models #zap
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asses transforming us-election data to new db schema #politicaio
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Create a simple LSTM decoder #s2c
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Create a simple CNN decoder #s2c
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import data feature #buildingo
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export data to json
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JSON output format #kvdb
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cut input data to correct size
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convert logical design to codes and add fake data
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learn how to convert things to vector embeddings, then store embeddings in Pinecone #powerup #sp
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transform complicated incoming data to internal model. we're getting there #edu
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Colorize output #sitesauce
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Made #albertbro outputs images too
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