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Given dataset of Diamonds with features such as Cut, Carat, Clarity etc. I have used libraries such as Numpy, Pandas, Matplotlib, Seaborn to Analyse and Estimate the Price of Diamonds based on the features. Implemented Algorithms using Scikit-Learn to increase the R2 score.

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Diamonds-Classifications

  • Given dataset of Diamonds with features I have preprocessed data using different libraries such as Pandas, Numpy etc.
  • Did Correlation analysis between features.
  • Performed feature engineering, feature enconding and scaling.
  • Lastly, I've applied different regression models (Linear, Lasso, AdaBoost, Ridge, GradientBoosting, RandomForest, KNN) and compared their predictive accuracy.

About

Given dataset of Diamonds with features such as Cut, Carat, Clarity etc. I have used libraries such as Numpy, Pandas, Matplotlib, Seaborn to Analyse and Estimate the Price of Diamonds based on the features. Implemented Algorithms using Scikit-Learn to increase the R2 score.

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