Table Of Contents:

  1. Introduction
  2. Business Problem
  3. ML Problem Mapping & Metric
  4. Data Description
  5. Existing Approaches
  6. First Cut Solution
  7. Exploratory Data Analysis
  8. Prerequisites
  9. Model Explanation
  10. Results & Deployment
  11. Future Work
  12. Profile
  13. References

1.Introduction

The Following is a case study of a kaggle problem.This solution will give top 6% in the leaderboard with free colab gpu in 5hrs, code is written in Pytorch.Colab notebook with code in References.

2.Business Problem

Build a model where given input of seismic image, the model predicts every pixel as salt or no salt.

Several areas of Earth with large accumulations of oil and…


Contents:

  1. Business Problem
  2. Existing Approaches
  3. Exploratory Data Analysis
  4. Data Preparation
  5. Modelling
  6. Model Comparision
  7. Future Work
  8. References

1. Business Problem:

The objective of the Mercedes-Benz Greener Manufacturing competition is to develop a machine learning model that can accurately predict the time a car will spend on the test bench based on the vehicle configuration.The ML model will contribute to speedier testing, resulting in lower carbon dioxide emissions.

2. Existing Approaches:

This kernel builds on observation that target variable can be coming from 4 different gaussian distributions and building 4 models for 4 of these clusters individually.The …

Manoj Guthikonda

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