A Machine Learning (Regression) case study based on the Mercari Dataset on Kaggle

Table of Contents

  1. Business Task
  2. Use of Machine Learning/Deep Learning in this task
  3. Evaluation Metric
  4. Exploratory Data Analysis
  5. Feature Engineering
  6. Existing Solutions
  7. My Experimentations
  8. Final Model
  9. Summary, results, and conclusions
  10. Future Work
  11. References
Photo by Aaron Burden on Unsplash

1. Business Task

The objective of this case study is to suggest an appropriate selling price to a seller who wishes to sell his/her product (usually pre-owned) on the online platform, Mercari, which connects the sellers to the buyers.

This case study is based on the famous Kaggle Competition held in 2018: Mercari Price Suggestion Challenge (https://www.kaggle.com/c/mercari-price-suggestion-challenge)


A Machine Learning (Multilabel Classification) task based on Freesound Audio Tagging 2019 Dataset on Kaggle

Table of Contents

  1. Business Task
  2. Use of Machine Learning/Deep Learning in this task
  3. Evaluation Metric
  4. Exploratory Data Analysis
  5. Preprocessing and Featurizations
  6. Existing Solutions
  7. Modeling
  8. Error Analysis
  9. Summary
  10. Future Work
  11. References
Photo by Aaron Burden on Unsplash

1. Business Task

The objective of this case study is to develop a general-purpose audio tagging system, i.e., when the algorithm is given an audio clip as input, it detects which sound(s) are present in it.

This case study is based on the famous Kaggle competition: Freesound Audio Tagging 2019.

Divyansh Jain

Experienced software engineer skilled in machine learning, programming, algorithm design, data handling, mathematics, probability, and statistics.

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