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standardization

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This project is based on House Prices dataset which consists of 2073 rows and 81 columns. Objective is to predict the price of the houses by a Regression Technique called Linear Regression after performing Principal Component Analysis.

  • Updated Jul 17, 2022
  • Jupyter Notebook

This project predicts employee salaries based on factors like gender, department, experience, and location, providing insights and accurate salary predictions through statistical and machine learning methods.

  • Updated Oct 26, 2024
  • Jupyter Notebook

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