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Perform These algorithms: - Linear Regression - Lasso Regression - Ridge Regression - Decision Tree Regressor - Random Forest Regressor - KNN Regressor - SVM Regressor AND Pick each of the algorithm and perform These steps: o Split your data between train and test steps. Build your model List down the evaluation metrics you would use to evaluate…

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nikhilesh992/ML_Projrct_Concrete_Strength_Prediction

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ML_Projrct_Concrete_Strength_Prediction

In The Data Find The best correlation Betwine independent & dependent variable, for that I Perform ML Supervised Regression Models To Predict the Data and found the Best Model.

Concrete Strength Prediction Perform Below algorithms To Predict The data And Found the Best Model:

  • Linear Regression
  • Lasso Regression
  • Ridge Regression
  • Decision Tree Regressor
  • Random Forest Regressor
  • KNN Regressor
  • SVM Regressor
  • AND
  • Pick each of the algorithm and perform Below steps:
  • Split your data between train and test steps.
  • Build The model List down the evaluation metrics you would use to evaluate the performance of the model?
  • Evaluate the model on training data
  • Predict the response variables for the test data
  • How are the two scores? Are they significantly different? Are they the same? Is the test score better than training score?

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Perform These algorithms: - Linear Regression - Lasso Regression - Ridge Regression - Decision Tree Regressor - Random Forest Regressor - KNN Regressor - SVM Regressor AND Pick each of the algorithm and perform These steps: o Split your data between train and test steps. Build your model List down the evaluation metrics you would use to evaluate…

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