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


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…


  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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