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REGRESSION USING CLASSICAL MODELS

A ready to use pipeline to train models on custom datasets Use this as a boilerplate to build training and benchmarking pipelines Includes:

  • Linear, Polynomial and Ridge Regression
  • Support Vector Regression
  • (Gradient Boosted) Decision Trees
  • KNN Regressor

Boilerplate contains code for:

  • EDA and visualization
  • model training and optimization
  • benchmarking

PS: for example dataset used is: https://www.kaggle.com/datasets/vikrishnan/boston-house-prices for starters notebook used is: https://www.kaggle.com/code/prasadperera/the-boston-housing-dataset

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Build pipelines for regression using classical models

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