Dr. Rambabu Pemula

  ESSENTIALS OF MACHINE LEARNING Unit – I:  Introduction to Machine Learning What is machine learning, types of machine learning, applications of machine learning, preparing to model, modeling, and evaluation        👉 UNIT-1 (A) Introduction to Machine Learning Notes 👉 UNIT-1 (A) Introduction to Machine Learning PPTs 👉 UNIT-1 (B) Introduction to Machine Learning Notes 👉 UNIT-1 (B) Introduction to Machine Learning PPTs 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.         👉 UNIT-II Supervised Learning: Regression Notes  👉 UNIT-II Supervised Learning: Regression PPTs Unit – III:  Supervised Learning: Classification What is Classification, General Approach to Classification, K-...

  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 👉 UNIT-II Supervised Learning: Regression Notes 👉 UNIT-II Supervised Learning: Regression PPTs