Improving automated understanding of complex question-answer content

A deep learning case study on a multi-target regression problem of Kaggle competition called Google Quest Q&A Labeling.

Photo by Franki Chamaki on Unsplash

Table of Contents

  1. Problem Statement
  2. Business objective & Constraints
  3. Data Source
  4. Spearman’s Rank-order Correlation
  5. Loss Function
  6. Existing Approaches
  7. Improvements
  8. Exploratory Data Analysis
  9. Models Explanation
  10. Models Comparision
  11. Error Analysis
  12. Final Model
  13. Deploying the Model on Google Compute Engine
  14. Summary and Future work
  15. References

1. Problem Statement

Computers are really good at answering questions with single, verifiable answers. But, humans are often still better at answering questions about opinions, recommendations, or personal experiences. …


Mercari Price Suggestion Challenge

My first machine learning self case study on a Regression problem and on a Kaggle competition.

Photo by Sebastian Unrau on Unsplash

1. Business Problem

Mercari is Japan’s biggest community-powered shopping app. Some items on Mercari cannot be sold because their listing prices are too high compared to the market price. Conversely, If the listing price is lower than the market price, customers lose out. Product pricing gets even harder at the sale, considering just how many products are sold online.

Therefore, listing becomes easier if we automatically display a suitable price for users when they list an item.

In this problem statement, the goal…

Rahul lodhi

Aspiring Machine Learning Engineer.

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