1. Introduction
  2. Business Problem
  3. ML Formulation
  4. Performance-Metric
  5. Dataset Analysis
  6. Exploratory Data Analysis(EDA)
  7. Imputation Techniques
  8. Feature Engineering
  9. Feature Selection
  10. Models with Hyperparameter Tuning
  11. Deployment of ML Model using Flask on Google Colab
  12. Test Results Comparison
  13. Future Work
  14. References

1) Introduction

This competition is different from the other two competitions held in the past cause the dataset provided in this spans over a 3 year timeframe(Jan 2016-Dec 2018) whereas for the other two only few months of data was available.Larger dataset resulted in more generalization of the ML Models.Here …

vishal sharma

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