Brightest Quasar Ever Powered by Black Hole, Dating to Dawn of Time

Table of Contents :-

  1. Introduction to Quasar.
  2. ML Formulation of the Business Problem.
  3. Business constraints.
  4. Source of the data.
  5. Existing Approaches.
  6. My improvements.
  7. Exploratory Data Analysis.
  8. Final creation of the data so as to use machine learning and deep learning models.
  9. Splitting of the data into train , cross-validate and test set.
  10. Models used for classification.
  11. Final Results comparing all the models and there perfomances.
  12. Final Pipeline using the best model.
  13. Future Work.
  14. Github and LinkedIn profile.
  15. References.

1. What is Quasar?


ICDAR-2015 Image for text detection

Table of Contents :-

  1. Introduction to the problem.
  2. Deep Learning Formulation of the Business Problem.
  3. Business constraints.
  4. Source of the data.
  5. Exploratory Data Analysis.
  6. Final creation of the data so as to use machine learning and deep learning models.
  7. Models used for detection and recognition.
  8. Text Translation.
  9. Final Pipeline using the best model.
  10. Deployment using flask
  11. Future Work.
  12. Github and LinkedIn profile.
  13. References.

1) Introduction

Mansi Sarda

Pursuing B.Tech in ECE || Actively looking for opportunities in machine learning and deep learning

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