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This repository contains the solution for a data science competition organised by Hackerearth. It contains feature engineering and modeling of a regression problem.

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Tacacs-1101/Smart-Engineer-hackathon

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Smart-Engineer-hackathon

Introducton

This online competition was organised by hackerearth. It contains a regression problem. There are four predictor variables which are all numeric and we have to predict the target variable. The dataset can be downloaded from the repository.

Section

  1. Exploratory analysis.
  2. Feature engineering.
  3. Modelling.
    1. Polynomial regression
    2. Ridge regression

Evaluation

The evaluation metric considered is rmse( root mean squared error ). r_squared coefficient are also calculated but the parameters are tuned based on the rmse score.

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This repository contains the solution for a data science competition organised by Hackerearth. It contains feature engineering and modeling of a regression problem.

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