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This repo contains code and supporting documents for the two lab assignments as part of the scalable machine and deep learning course.

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scalable_ml

This course focused on the use of Spark, Databricks and Pytorch to learn about scalable machine and deep learning and how distributed databases work.

Lab 1: Practicing the classification and regression tasks using Spark in the Databricks environment.

Lab 2: Creating an automated image captioner using a transformer and LSTM.

Final Project: Creating an emotion classifier which could be used to organise product reviews for an ecommerce platform.

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This repo contains code and supporting documents for the two lab assignments as part of the scalable machine and deep learning course.

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