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Showing posts with the label Simple Linear Regression

III-I CSE(AIML) ESSENTIALS OF MACHINE LEARNING

  ESSENTIALS OF MACHINE LEARNING πŸ‘‰ Unit – I:  Introduction to Machine Learning What is machine learning, types of machine learning, applications of machine learning, preparing to model, modeling, and evaluation        πŸ‘‰ UNIT-1 (A) Introduction to Machine Learning Notes πŸ‘‰ UNIT-1 (A) Introduction to Machine Learning PPTs πŸ‘‰ UNIT-1 (B) Introduction to Machine Learning Notes πŸ‘‰ UNIT-1 (B) Introduction to Machine Learning PPTs πŸ‘‰ UNIT-1 Important Long Answer Question s πŸ‘‰ UNIT 1 Important Long Answer Question YouTube Link πŸ‘‰ Unit – II:  Supervised Learning: Regression Introduction to Regression, Example of Regression, Simple Linear Regression, Multiple Linear Regression, Assumptions in Regression Analysis, Improving the accuracy of the Linear Regression Model, Ridge Regression, and Lasso Regression.         πŸ‘‰ UNIT-II Supervised Learning: Regression Notes  πŸ‘‰ UNIT-II Supervised Learning: Regression PPTs πŸ‘‰ UNIT-2 Import...

Unit – II Supervised Learning: Regression

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  Unit – II Supervised Learning: Regression 1.     Introduction to Regression 2.     Example of Regression 3.     Simple Linear Regression 4.     Multiple Linear Regression 5.     Assumptions in Regression Analysis 6.     Improving the accuracy of the linear regression model 7.     Ridge Regression 8.     Lasso Regression πŸ‘‰ UNIT-II Supervised Learning: Regression Notes πŸ‘‰ UNIT-II Supervised Learning: Regression PPTs πŸ‘‰ UNIT-2 Important Long Answer Questions πŸ‘‰ UNIT-2 Supervised Learning: Regression Important Questions YouTube Link