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Using Random Forest , Bi Direction LSTM and Tensorflow Transfer Learning to do a text classification project. Compare model differences between tokenization and word embedding.

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natural-language-processing universal-sentence-encoder lstm-neural-networks embedding-layer-keras

natural-language-processing-with-reddit-post's Introduction

  • ๐Ÿ‘‹ Hi, Iโ€™m @Lek Wen Shiung Terence , Previously a technical engineer in the Offshore Industry.
  • ๐Ÿ‘€ Iโ€™m interested in machine learning algorithms , image processing , text processing and content moderation topics.
  • ๐ŸŒฑ Beside learning Data Science at General Assembly and Coursera , Iโ€™m currently self-learning Tensorflow Certification content and Data Structures & Algorithims.
  • ๐Ÿ’ž๏ธ Iโ€™m looking to collaborate on any exciting machine learning projects that can help us understand the world better.
  • ๐Ÿ“ซ How to reach me: Please reach me at [email protected]. If there might be anything i can assist on , do feel free to drop me a text :).

Click here to go to my Linkedin profile.

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