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We analyze the data of ReCell case study, build a linear regression model to predict the price of a used phone, measure the performance of the model, check linear regression assumptions, and identify factors that significantly influence the target variable.

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Ayda-Darvishan/ML-Regression-Model--AWS

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Machine Learning--Regression Model

We analyze the data of ReCell case study, build a linear regression model to predict the price of a used phone, measure the performance of the model, check linear regression assumptions, and identify factors that significantly influence the target variable.

Outline

  1. Problem Statement
  2. Data Overview
  3. Exploratory Data Analysis (EDA)
  4. Data Preprocessing
  5. Building a Linear Regression Model
  6. Model Performance Evaluation
  7. Checking Linear Regression Assumptions
  8. Final Model-Summary

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We analyze the data of ReCell case study, build a linear regression model to predict the price of a used phone, measure the performance of the model, check linear regression assumptions, and identify factors that significantly influence the target variable.

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