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Regression Model Project

Project Overview

In this repository, a regression model is built and validated using the data provided.

Dataset Description

The dataset is provided in a data.csv file and includes multiple variables. The task is to build a regression model that explains the dependent variable using the other variables in the dataset.

Project Tasks

  1. Model Selection and Validation:

    • Build a regression model using the dependent variable and the other variables in the dataset.
    • Choose the model algorithm, and you can test multiple algorithms (optional).
    • Decide which variable(s) to use for splitting the data into training and validation samples.
    • Justify your chosen validation approach.

  2. Regression Results:

    • Present the regression results using a scatter plot.
    • Use aesthetics to indicate different groups on the plot. You may need separate scatter plots for different groups (depending on the case).

Summary

  • Approach Justification: Description and justification of approach is presented in a Jupyter-Notebook report.
  • Include Plot: The report includes the scatter plot visualization.