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Comparing the performances of simple linear, multiple linear, multi-layer perceptron and k-nearest neighbors regressions on abalone data to predict the age.

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Abalone Age Prediction with Regression Models

This is an assignment for my Data Mining course.

Description
Comparing the performances of simple linear, multiple linear, multi-layer perceptron and k-nearest neighbors regression on abalone data to predict the age.

Libraries
pandas, numpy, seaborn, matplotlib.pyplot, sklearn

  • Missing value analysis
  • Outlier analysis
  • Recursive Feature Elimination (RFE)
  • Model evaluation
  • Hyperparameter tuning with Grid Search Cross-Validation

Data Set
The data set is publicly available on Kaggle.

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Comparing the performances of simple linear, multiple linear, multi-layer perceptron and k-nearest neighbors regressions on abalone data to predict the age.

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