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recursive-feature-elimination

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A Linear Regression model to predict the car prices for the U.S market to help a new entrant understand important # variables in the U.S automobile industry. A highly comprehensive analysis with detailed explanation of all steps; data cleaning, exploration, visualization, feature selection, model building, evaluation & MLR assumptions vali…

  • Updated Jul 28, 2020
  • Jupyter Notebook

Engaged in research to help improve to boost text sentiment analysis using facial features from video using machine learning.

  • Updated Jan 12, 2018
  • Jupyter Notebook

Developed a predictive real estate model leveraging XG Boost Regressor, integrating web-scraped market data with existing datasets to forecast daily store visits, achieving a MAPE of 13.3%, enabling strategic retail location decisions

  • Updated May 28, 2024
  • Jupyter Notebook

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