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Training Documents using Tags. Predicting both tags and embedding vectors of test document to classify them, and to find the nearest document in train set.

Python 0.44% HTML 0.11% Jupyter Notebook 99.44% Dockerfile 0.01%
nlp-machine-learning nlp doc2vec dockerized kubernetes gcp le paragraph-vector

document-classification-using-doc2vec's Introduction

Hi there 👋

  • 🤔 I’m looking for a role of full stack Data Scientist, ML/DL/NLP/CV Engineer , Data Team Lead, Data Manager roles.
    • 🔭 I’m currently working on Data Engineering/Science/ML Pipelines in the cloud. Working on an Microservices application for a tflite audio model ( Fine tuned YAMNET model) - Hosted it on GKE. Now am looking to fine-tune it further for production scale workload. Also looking to make the front end user-friendly and professional looking.
  • 🌱 I’m currently revisiting ML, Stats (Inferential), DL, CV, NLP.
  • 📫 How to reach me: [email protected] / [email protected]
  • ⚡ Fun fact: I respect and like working with doers over talkers, honest-hardworking people over manipulators.

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