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  1. Introduction
  2. Data Exploration
  3. Data Preprocessing
  4. Fitting a model and making predictions
  5. Deploying the model

Introduction


The most important step to work on a machine learning problem is to understand the input data.

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  1. Business problem
  2. ML Formulation…


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Beginner friendly guide to using linear regression model to predict car prices, calculate the error percentage and improve on it using feature selection.

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  • Insomnia or sleeping too much
  • Loss of appetite or overeating
  • Fatigue


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Alifia Ghantiwala

Using writing to liberate my thoughts!

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