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Implement deep learning model builders for stock prediction CI #9: Commit d7b671d pushed by Jash-stack
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Add data loading and preprocessing for stock prediction CI #8: Commit 6e7c38a pushed by Jash-stack
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Initialize src package for Netflix stock prediction CI #7: Commit 5ae5c81 pushed by Jash-stack
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Create train.py CI #6: Commit 5ab25d9 pushed by Jash-stack
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Revise README for improved clarity and organization CI #5: Commit c8ba1ef pushed by Jash-stack
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Delete DL-PROJECT REPORT (1).pdf CI #4: Commit 857aec1 pushed by Jash-stack
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Delete CS 583- B DEEP LEARNING.pptx CI #3: Commit 047c953 pushed by Jash-stack
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Add unit tests for model and data processing CI #2: Commit ba90d12 pushed by Jash-stack
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Add CI workflow for linting and testing CI #1: Commit e594240 pushed by Jash-stack
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